440 parallel-computing-numerical-methods-"https:" Postdoctoral positions in United Kingdom
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Closing Date : 29-Dec-2025, 6:59:00 PM Disclosure and Barring Service Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y Working
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literacy and managing online behaviours over the past two decades. We are looking for an individual who is interested in carrying out the project’s research programme under the supervision of Dr Ekaterina
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ultimately aiming at the ambitious goal of single cell analysis. Your responsibilities: Develop mass spectrometric methods advancing circular bioengineering Develop mass spectrometric methods supporting
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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Associate in Biochemistry to join an ambitious research programme focused on the development of new treatments for tuberculosis. This position forms part of the recently funded Oxford TB Grand Challenge
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Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under
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expected to work with Professor Riccardo Sapienza and our experimental collaborators to develop experiments in the field of metamaterials that vary in space and time. More details at https
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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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computational methods for analysis and interpretation of large-scale biological datasets. Experiences in structural homology modelling is not essential but would be advantageous. The post holder will work in a
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their interactions and collisions. We are now developing the use of these and other ultracold molecules for quantum science. Further details of the research group are available at https