131 web-programmer-developer "https:" "https:" "https:" "https:" "Newcastle University" Postdoctoral positions at University of Oxford
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, machine learning, and/or computational biology to be able to work within established research programmes. They will have excellent communication skills, including the ability to write for publication
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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
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shares and inheritance statistics in developing and developed countries. This is a fixed term role which will end by the end of February 2027. About you You will hold, or be close to completion of, a PhD
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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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. The project will utilize and further develop upon state-of-the-art computational modelling techniques to predict excited state properties of complex materials, including but not limited to their quasiparticle
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advanced imaging and behavioural techniques in mice; and adapt existing and develop new scientific techniques and experimental protocols, with a particular focus on in vivo animal models (mice
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to develop new ideas and build upon existing research within the group. The position is fixed term until 31st March 2027 in the first instance. This post could suit those wishing to prepare for a clinical
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. The successful candidate will contribute to this emerging field of AI-driven X-ray experimental science through the development of novel X-ray spectroscopic imaging experimental modalities, the design and
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. The project involves developing and applying a novel integrated platform to study the chemical molecular mechanisms and signalling consequences of reactive small-molecule metabolites within important biological
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project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT).” 3D-CAT is a new Faraday Institution research project lead by Oxford Materials (Professors Robert House