586 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" Postdoctoral research jobs in United Kingdom
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environment, and a background in medicinal chemistry or molecular modelling, would be advantageous. IOI offers a dynamic, collaborative research environment with a strong international profile, a track record
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We are seeking to appoint a Research Assistant in Brain Tumour Biology to join Dr Pathania’s Laboratory at Ludwig Institute for Cancer Research, part of Nuffield Department of Medicine. The lab
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Location: Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ We are seeking to appoint a Research Assistant in Brain Tumour Biology to join Dr Pathania’s Laboratory
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international and interdisciplinary group of scientists. We use a multi-disciplinary approach that includes expertise and collaborations in bioengineering, biochemistry, structural biology, and physiology, using
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research programme transforming the diagnosis and management of suspected seizures. Starting in June 2026, this three-year role is central to a multi-million-pound project funded by the Engineering and
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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biology of rhomboid-like membrane proteins, with an emphasis on proteostasis and protein quality control. You will also be expected to provide guidance to less experienced members of the research group
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the mathematical sciences. It consists of active research groups in a wide range of fields, starting from logical foundations, bridging all classical core subjects, and up to concrete applications in industry. As
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contribute to exciting national and international research initiatives in quantum science and technology. Join us! Please submit your application including the attachments mentioned below as one single PDF
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types