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Turkmen Agricultural Institute

The Turkmen Agricultural Institute is a higher education institution that specialises in agricultural disciplines. Founded in 2010, it provides education and research in fields such as agronomy, agroengineering, animal sciences, and ecology, among others.     
Students at the university are able to combine the theoretical concepts of agriculture, but also the practical and technical aspects of farming and agribusiness.   
The university has a range of research and development initiatives and students are required to apply their skills and knowledge to real-world problems. Students are provided with support to take part in research projects, start their own businesses, and collaborate with industry leaders.    
The institute has partnerships and collaborations with a range of stakeholders, including government agencies, international organisations, and the private sector.

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51吃瓜

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?43,455 - ?61,833 plus ?2,162 London Weighting Allowance per annum

United Kingdom, London

About us

From its earliest years, the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) has been fundamentally changing and shaping how we understand, prevent and treat mental illness and other conditions that affect the brain.? The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in society.

The IoPPN is divided into 14 academic departments across three major academic Schools: Academic Psychiatry, Mental Health & Psychological Sciences, and Neuroscience.

The Department of Psychosis Studies, part of the School of Academic Psychiatry, is one of the world’s leading centres for research into psychotic disorders. Our research includes the following major themes: Comorbidities & transdiagnostic approaches; Interventions; Neuroscience & biological mechanisms; Prediction and analytics; Risk factors and population health; and Treatment resistance. Our work involves a wide range of methodologies, including artificial intelligence/ digital technologies and interventions, cognitive neuroscience approaches, epidemiology, experimental medicine and clinical trials, ex vivo analyses, genomics, health service and applied research, meta-analysis?and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data analyses and natural language processing, and stem cell techniques.?

About the role

This is an exciting position?where the successful candidate will have the opportunity to work as part of an internationally leading team of researchers investigating biological bases of neuro-psychiatric and neurodegenerative disorders and the mechanism of action of treatments. The team has a particular interest in investigating the mechanism of action of cannabinoids and a key component of this program of work will involve the application of cutting-edge neuroimaging techniques (such as fMRI) to investigate the neural substrates underpinning the harmful effects of recreational cannabis use as well as potential therapeutic effects of cannabinoids. As part of this role, the appointed person will be involved in ongoing or planned randomised clinical trial/s and/ or pharmacological challenge studies.

The position is ideally suited for specialty trainees (from Psychiatry/ Neurology /Geriatric Medicine) interested in developing experience and skills in clinical trials or clinical research, in addition to gaining valuable experience in neuroimaging and neuropsychopharmacology.

The successful applicant will play a key role in the assessment and monitoring of patients taking part in ongoing studies and along with a team of researchers will contribute to the collection of clinical trial and neuroimaging data. The applicant will receive appropriate training and supervision relevant to their role and will work closely with other research and clinical staff working on the project/s, fostering effective working relationships with appropriate local services (e.g., Parkinson’s clinics at King’s College Hospital and Liaison and Geriatric Psychiatry at the South London and Maudsley NHS Foundation Trust). ?

The person will be based in the Department of Psychosis Studies, School of Academic Psychiatry, IoPPN at KCL and will work closely with Prof Sagnik Bhattacharyya (https://www.kcl.ac.uk/people/professor-sagnikbhattacharyya) and other investigators based at King’s College London, in particular Dr Latha Velayudhan (https://www.kcl.ac.uk/people/dr-latha-velayudhan), based in the Psychological Medicine department at King’s College London. They will also interact with clinical fellows, research assistants, postdoctoral researchers and PhD students working in the group.?

This is a full-time, fixed term post, currently funded for 12 months with potential for extension and an anticipated start from August 2025. The successful candidate will be encouraged to develop their own research interests.?and apply for funding to support an MD/PhD.?

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	Full GMC registration (medical doctor) with valid license to practice.?
	Medical Degree with a broad range of medical knowledge?
	Knowledge of neuropsychiatric or neurodegenerative disorders.?
	? Skills and experience recruiting clinical participants for research
	Experience of multidisciplinary working?
	Self-motivated with ability to work independently and having good organizational, problem-solving and time management skills.?
	Excellent interpersonal and communication skills to develop and maintain effective working relationships?
	Prepared to travel around London


Desirable criteria


	An understanding of data protection and patient confidentiality.
	Postgraduate experience in psychiatry/neurology/dementia care
	?Knowledge &/ or Experience of working in clinical trials
	?Publication in peer reviewed scientific/medical journals


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our?‘How we Recruit’? pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

This post is subject to Disclosure and Barring Service and Occupational Health clearances.


King's College London

Singapore

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy.

SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings.?The university’s pool of Engineering experts works with multi-disciplinary teams to drive strategic translational research in key areas such as energy resilience, sustainable infrastructure engineering and maintenance, and maritime engineering.

As a young university, we encourage innovation and seek the right candidates to join us in realising our vision into an increasingly vibrant reality. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready undergraduates.

For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in the area of digital supply chain.

Essential


	Academic and/or industrial experience in design and managing digital supply chain solutioning and supply chain management.
	Having a background and interest in one or more fields of digital supply chain, including but not limited to digital supply chain transformation, digital manufacturing, E-procurement, E-commerce, E-logistics.
	Experience and knowledgeable in one or more areas of supply chain operations management, risk management and operations research, such as demand forecasting, inventory control, procurement, manufacturing, distribution, warehouse and transportation simulation, optimization and management.
	Motivated to develop and to teach curriculum in supply chain sustainability.
	Strong demonstration of interest to develop supply chain security, supply chain digital twin, and artificial intelligence solutions through applied research projects.


Desirable


	Good knowledge in digital supply chain-related technologies such as AI, LLMs, Cyber Security, IoT, 3D printing, automation, supply chain security, digital twins, and block chains.
	Hands on experience in commercial digital supply chain solutioning projects with both hardware and software elements.
	Experience in digital supply chain related projects with strong integration of the three pillars, i.e., Digitalization, Resilience and Agility, and Green Supply Chain.
	Preferred to having a PhD in a related technical area.
	Led or involved in strong industry - academia partnership projects.


Successful candidates will join the?Engineering (ENG) Cluster?(one of five academic clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via?SIT Career Website.


Singapore Institute of Technology (SIT)

United Kingdom, Southampton

This is an exceptional time to be joining the University of Southampton Information and Cyber Security team within the University’s IT department, iSolutions. The Security team is uniquely placed to advise, support, and defend the University against security threats.

About the Role

You will take a leading role in securing the Secure Data Research Environment, providing specialist expertise in information and cyber security to protect sensitive research data and ensure compliance with security standards. You will work closely with colleagues across the University to monitor and analyse security systems, respond to incidents, address vulnerabilities, and implement security measures.

You will also be responsible for supporting the University’s preparation for and maintenance of cyber security accreditations, including Cyber Essentials Plus and ISO/IEC 27001.

The role is currently remote with future flexible options.

The interviews are expected to be held in the week commencing the 14th?July.?

What you’ll do

· Work with colleagues from the University to Lead efforts for the Secure Data Research Environments Cyber Security accreditations (e.g., Cyber Essentials/Plus, ISO/IEC 27001), coordinating audits, managing documentation, and implementing remedial actions.

· Provide support in maintaining security operations by managing and updating security policies and procedures, conducting vulnerability assessments, and implementing security patches and updates.

· Oversee remediation of risks from security scans and tests, ensuring alignment with risk appetite before production. Conduct risk assessments for on-premise and cloud-hosted solutions, identifying control gaps and residual risks using frameworks (e.g., CIS Top 18, NIST Cyber Security Framework, ISO 27001).

· Lead on efforts relating to the Secure Data Research Environments Cyber Security accreditations, including Cyber Essentials/Plus and ISO/IEC 27001.

· Provide expert guidance on policies, standards, industry regulations, and best practices. Offer consultation on Secure by Design principles and information assurance. Develop IA strategies, policies, and awareness programs.

· Identify, analyse, and evaluate information risks across various projects and systems. Communicate the causes, likelihood, and impacts of information risks to stakeholders.

· Maintain awareness of evolving cyber security and regulatory landscapes to inform risk management and governance.

What you’ll bring:

· Experience of information and cyber security within a large organisation.

· Knowledge of current information and cyber security issues and opportunities, including knowledge of security frameworks.

· Experience of with security tooling, particularly within a mixed Windows, Linux, Mac and Cloud environment.

· The ability to present your ideas and your specialist area, to a wide and potentially non-technical audience.

· The integrity required to work with both commercially sensitive and personally identifiable information.

The University of Southampton is a research-driven institution, home to some of the world’s leading minds, expanding our knowledge and passing it on to future generations. iSolutions is the University’s IT support service whose 230+ staff support the delivery of the University’s research and education activities. We would love you to join us and help change the world for the better.

The University of Southampton promotes a healthy work life balance with generous holiday allowance (30+ days), defined benefit pension, flexi-time and flexible working, generous parental leave and childcare provision. For more information on our benefits, please visit our human resources pages.


University of Southampton

Sessions: 2 per week, Tuesday afternoon and Thursday afternoon

Applications are invited for the part-time post of Senior Teaching Fellow BM5 BM5 Primary Care (PC) Clinical Practice (CP) 1 and 2 deputy Module Lead, to join the Medical Education Unit in the Faculty of Medicine. This is an exciting opportunity to contribute to the design, development and delivery of PC teaching and learning experience for students on the BM5 programme on the new revalidated curriculum which is launching September 2025.

As the post holder, you will also contribute to help the development and delivery of the PC subject teaching across the Batchelor of Medicine programmes and will help students meet the General Medical Council’s learning outcomes relating to PC as in “Outcomes for Graduates 2018”. You will work with a range of staff with different backgrounds and promote the shared vision for PC. You will be responsible for recruitment, placement, teaching and training GP teachers to support the delivery of PC in the BM5 cohort of CP 1 module and use the second session to deputise both CP1 and 2. You will enable students to develop skills and competencies needed for building a solid foundation in the early years, as students’ progress to consulting patients safely and enhance the student learning experience.?

We are looking to recruit a GP to this role who is currently working in Primary Care.

For an informal discussion about the post, applicants are invited to email Dr Pritti Aggarwal?p.aggarwal@soton.ac.uk

The Faculty of Medicine holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information including key benefits designed to help maintain and support employees' well-being and work-life balance, please see?our?working with us?website pages.


Vietnam

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Computer Science and Machine Learning. Candidates must hold a PhD in this field or a closely related field with a strong research background. Relevant international experience is an advantage. The successful candidate will become part of an international network of universities and research institutes.

Teaching Responsibilities

In the role of a lecturer, the successful candidate will teach graduate courses in MCS and undergraduate courses in the CSE bachelor program. The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on the following modules:


	Introduction to Computer Science?
	Introduction to Data Science and Artificial Intelligence?
	Current Topics in Computer Science?
	Statistics?
	Fundamental courses in related areas


The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may requires conducting relevant laboratory activities and/or advising student projects.

The holder of this job is also responsible for supervising bachelor’s and master’s theses and mentoring PhD students.

Research Responsibilities

We expect the successful candidate, as a research-oriented university faculty member, to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of pattern recognition, machine learning (including generative models and neural network architectures), and natural language processing (including large language models). The ability to apply and generate externally funded research projects is highly desirable.

Administrative responsibilities

The successful candidate is expected to contribute to the development of the Computer Science Program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies.

Qualification

Candidates must hold a PhD in Computer Science or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as will experience and understanding of the German higher education system and methodology. Other requirements include:


	An outstanding academic record with a focus on machine learning, computer?vision, natural language processing, pattern recognition or other areas closely?related to it?
	Proven expertise in techniques for natural language processing and pattern?recognition?
	Strong track record of successful research activities and publications in?international and peer-reviewed journals in the related area?
	Proven teaching experience with strong self-motivation combined with a passion?for teaching and research?
	Experience in industry is an advantage ?
	Proven excellent English proficiency:?
	Candidates who are from non-native English-speaking countries should include?one of the following valid English proficiency certificates; IELTS 6.5, TOEFL?548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level?C1 at the time of application submission. Alternatively, candidates who do not?hold a valid English proficiency certificate at the submission time need to be?internally assessed at VGU to meet the criterion stated above.1?


Employment benefits

The successful candidate will become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers.

VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students.

Further information, e.g., regarding the appointment procedure, the competitive salary and research activities can be downloaded?here.

Application

To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with the subject line “Computer Science and Machine Learning_[Your Name]” Your application should include:


	Form for basic information (Please?download?, complete this form?electronically and submit it together with your application)?
	A cover letter stating your interest in joining VGU?
	Curriculum Vitae (including list of publications)?
	Scans of university degrees, university transcripts and other relevant?certificates?
	Scans of language certificates (if applicable)?
	References illustrating your professional and academic career, including?contact details of references (if available, highly appreciated)?
	Evaluation results for teaching (if available)?


All applications will be reviewed and evaluated by VGU's international Application Review Team.

For further information, please contact:


	Program Academic Director at rschorr@fb2.fra-uas.de and/or?
	Program Academic Coordinator at son.ll@vgu.edu.vn.


About us

The Vietnamese-German University (VGU) is a state university in Vietnam. Founded in 2008, VGU is a joint venture based on close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region.

VGU?s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures.

The principle of non-discrimination against women: Female candidates will receive priority consideration for lecturer positions at VGU. In case of equally qualified male and female applicants, the women will be preferred.


51吃瓜

Turkmen Agricultural Institute

About Turkmen Agricultural Institute

Impact Rankings

Impact Rankings 20241501+

Quality Education 20241001-1500^th

Gender Equality 20241001+

Industry, Innovation and Infrastructure 2023601-800^th

Climate Action 2024801+

Partnership for the Goals 20241501+

Discover similar universities

Subjects Taught at Turkmen Agricultural Institute

Life Sciences

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51吃瓜

Turkmen Agricultural Institute

About Turkmen Agricultural Institute

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2024.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}1501+

Quality Education 20241001-1500th

Gender Equality 20241001+

Industry, Innovation and Infrastructure 2023601-800th

Climate Action 2024801+

Partnership for the Goals 20241501+

Discover similar universities

Subjects Taught at Turkmen Agricultural Institute

Life Sciences

Impact Rankings 20241501+

Quality Education 20241001-1500^th

Industry, Innovation and Infrastructure 2023601-800^th