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We are seeking a full-time Postdoctoral Research Assistant in Physics-Based Modelling of Advanced Batteries to join the Department of Engineering Science under the supervision of Prof Charles Monroe
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We are seeking a full-time Postdoctoral Research Assistant in Physics-Based Modelling of Advanced Batteries to join the Department of Engineering Science under the supervision of Prof Charles Monroe
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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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of Liverpool. The successful applicant will work primarily with the UK PI Dr Richard Brown (Durham) and Co-I Prof Paul Brennan (UCL), Co-I Prof Patrice Carbonneau (Durham), and Co-I Dr Silvio de Angelis, and
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perspectives", based at the University of Cambridge with Prof Nicola Clayton FRS. This is a fixed-term post with funds available for 3 years. The work will be carried out at the University of Cambridge Sub
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. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The postdoc will investigate the interactions between the olfactory