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31st March 2026 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in Emerging GPAI Capabilities and Risks Apply for this job See
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Salary: Grade 7 (£41,064 – £48,822 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to
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Postdoctoral Fellowship (First Responder and Military Psychological Health and Suicide Prevention) - 38903 Faculty Description Department: Emergency Medicine Job Title: Postdoctoral Fellowship
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 20 days ago
to assess emerging adverse events in post-market settings; and the critical comparison of real-world outcomes versus clinical trial outcomes to support regulatory decision-making. Under the guidance of a
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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promotions process. About You PhD in a relevant discipline (e.g., environmental science, hydrology, environmental engineering, pollutant modelling, or environmental risk assessment). Demonstrated expertise in
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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demonstrated research experience in human disease modelling or organoid systems. An emerging research profile in hiPSC technology, genome editing, and/or advanced 3D tissue models, with a track record of
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science, technology and society; how scientific knowledge and technologies emerge and how science and technology are employed in different social contexts, and with what social and political implications
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control