111 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford
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Christiane Timmel for a period of up to 12 months. The project involves the development and application of novel optical detection methods for magnetic field effects in proteins (especially cryptochromes and
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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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and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics calculations and Brownian Dynamics simulations. The group is looking
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Applications are invited for a Postdoctoral Researcher to work on developing cutting-edge genomics methods. The main focus of the work will be on unravelling the intricate relationship between
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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the ability to write for publication, present research proposals and results, and represent the research group at meetings. Specialist knowledge in protein and nucleic acid biomolecule methods and biocatalytic
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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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with other group members to assist them with gene functional characterisation. They must work as part of a team, be willing to learn new methods and skills and persevere in case of discouraging results
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to answering more established research questions, as well as helping to shape the development of others. The successful applicant will work alongside experienced clinical and mixed-methods researchers, and
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to