164 cloud-computing-phd-student Postdoctoral research jobs at University of Oxford in Uk
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University of Oxford (https://www.expmedndm.ox.ac.uk/mmm). You will be joining a highly interdisciplinary team of approximately 40 clinicians, computational biologists, statisticians, software engineers and
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role in participating in the exchange programme with Johns Hopkins University. You will also be responsible for contributing new research project ideas, managing your own administrative activities and
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and willingness to collaborate and provide scientific and workplace guidance to colleagues, research assistants and students. Excellent record keeping, careful methodological work skills and the ability
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, including research assistants, PhD students and project volunteers. This is an exciting opportunity to contribute to world-leading research while shaping bold, practical solutions for people and planet
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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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students. You must have: A relevant PhD/DPhil (or be close to completion), together with relevant experience in cellular neuroscience. Extensive experience of performing patch clamp electrophysiological
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular
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of the research group, including postdocs, research assistants, technicians, plus PhD and project students. You must have: A relevant PhD/DPhil (or be close to completion), together with relevant experience in
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene