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will be expected to participate in co-supervision of project students, oversee smooth and safe operation of the lab. Applicants should hold a PhD in synthetic organic chemistry or physical organic
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, model predictive control, parallel computing using JAX and rapid online learning, is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able
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of PhD students on this project, collaborating with other partners in the ARIA programme, assisting with the delivery of project milestones, and managing the project’s codebase. We expect novel algorithms
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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culture by cell-to-cell fusion methods. Synergistic work tackling other key barriers in synthetic genomics will be done in parallel by postdocs in Oxford, Cambridge and Manchester that will be close
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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, the Department and the College To provide guidance to PhD Students Contribute to bids for research grants To conduct and plan own scientific work with appropriate supervision. To maintain highly organised and
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range of mouse models, live imaging of primary cells and matrisome analyses. You will actively participate in the research programme of the Lloyd Group. You will conduct and plan your own scientific work
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to adapt to an evolving environment and to work in teams, both as the leader or as a member In addition, it would be desirable if you had: Experience with design and development of distributed computing
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the Molecular Science Research Hub building in west London. You will work alongside a dynamic team of researchers that span synthetic chemistry and computational modelling. Catalytic hydrogenation processes