163 phd-in-computational-mechanics-"St"-"FEMTO-ST" Postdoctoral positions at University of Oxford
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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to 31st May 2028). The RADlab at University of Oxford is seeking to recruit a Postdoctoral Researcher for the Neural-driven, Active, and Reconfigurable Mechanical Metamaterials (NARMM) project. Candidates
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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About the Role We are seeking an experienced and highly motivated senior postdoctoral researcher in computational biology. The successful candidate will join a multi-disciplinary team working in
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the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on development of computational approaches to integrate multi-omics
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This position can be offered a secondment opportunity for internal applicants. We have an exciting opportunity for an International Collaboration Specialist to join the Nuffield Department of Medicine (NDM) in a newly established role focused on managing the evolving risks associated with...
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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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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity