671 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in United Kingdom
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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dilution refrigerators, measurement electronics and software, and fabrication processes all in place to achieve top scientific results without the need to build tools for years. Responsible and meaningful
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Physics, Optical engineering, or a closely related field (award received or thesis submitted and
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Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
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Software Engineer and there are 2 posts available in total at this level. You must be willing to go through UK national security vetting processes. For informal enquiries and more information about this
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31 August 2027. You should have obtained a PhD, or passed PhD viva, in Materials Science, Chemistry, Mechanical Engineering, or Chemical Engineering. If you are still awaiting your PhD to be awarded
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-oncology and early detection research. Your position will be embedded in the CCC’s Advanced Microscopy Development Group, led by Dr Simon Poland and based in the purpose-built laser and microscopy
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dendrite patterning, axonal guidance and synaptogenesis, and neuronal regeneration (Cheerambathur et al. , Ouzounidis et al. , Domingos et al. ). By leveraging the well-established neuronal model, C. elegans
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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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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental