71 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Tampere University" Postdoctoral research jobs at University of Oxford
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-funded project, ML4MetaLigM. We are seeking a highly motivated Postdoctoral Research Associate to contribute to the development and deployment of MLIPs for supramolecular modelling, with a focus on self
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The Mosher lab is searching for a postdoctoral research associate to lead a project visualizing small RNAs during seed development. Plants produce abundant siRNAs from a small number of loci during
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management oversight. A separate ground-breaking experimental medicine programme will enable the analysis of samples generated from participants for the development of novel biomarkers. The EXPERTS-ALS
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About the role We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to understand the evolution of the membrane
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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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-clinical immunology and vaccine development programmes, focused on outbreak-related pathogens including filoviruses such as Ebolaviruses, arenaviruses such as Junín, and Bunyaviruses such as Crimean–Congo
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems
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and international institutions is highly desirable. They postholder will contribute to the strategic development of the Initiative’s research programme and to its external engagement with policymakers
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and take a collaborative approach that fosters the development of professional and effective working relationships with key stakeholders. A demonstrated ability to write for publication, present
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development