574 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Oxford
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We have a new and exciting opportunity for a Postdoctoral Research Scientist to join the Pandemic Science Institute’s (PSI) growing efforts in computational vaccinology and vaccine trial design. You
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. Key responsibilities: • Manage own
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ
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About the role We are seeking an Associate Professor of Climate Change and Child Health to join a dynamic cross-university program on climate change and child health and well-being led by Prof
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offers a unique opportunity to lead a programme of research trials and clinical cancer activity for the Department of Oncology and Oxford Cancer. Our research focuses on the testing of novel therapies
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use