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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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This is an exciting opportunity to help shape the direction of a new research group, and supervise PhDs and Masters’ students. We are looking for an independent postdoc who wants to explore both
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Location: South Parks Road This is an exciting opportunity to help shape the direction of a new research group, and supervise PhDs and Masters’ students. We are looking for an independent postdoc
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possess a relevant PhD in Turbomachinery (or Chemistry and) Computational Fluid Dynamics, a strong multi-physics modelling background in Machine learning, a strong record of publications, proven competence
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they are kept fully up to date with progress and difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (e.g. Statistics, Machine Learning, Biostatistics, AI
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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the stability and reliability of these materials in optoelectronic devices. The post-holder will have the opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials
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income, collaborate on reports and journal articles, and have the opportunity to teach. The ideal candidate should possess (or soon obtain) a PhD in Biophysics, Engineering, Biotechnology or a related
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the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. The successful candidate will have a PhD with relevant experience in protein biochemistry and