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nonlinear aspects. Previous experience in developing advanced constitutive models, particularly for rubber-like materials, is desirable. Informal inquiries may be addressed to Laurence Brassart (email
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/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology, Biochemistry, or Biophysics. You should be driven, have experience in protein production, the analysis
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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advanced spectroscopic and structural techniques, this postdoctoral project will establish clear correlations and mechanisms linking core properties critical to efficient light-harvesting with basic material
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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this hydrogen generation model with the ammonia synthesis module. Find out more about the Hayward research and group at: https://www.chem.ox.ac.uk/people/mike-hayward. About you Applicants must hold a
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell responses in health and disease, ultimately
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project to develop a systematic framework for reconstructing the evolutionary histories of pathogens. The role involves using viral sequence data and models of sequence evolution to investigate both
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We are seeking to appoint a highly motivated Postdoctoral Researcher with expertise in innate immune responses to cancer, in vivo/in vitro experimental models, and advanced molecular techniques