125 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at University of Oxford
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training of mice, in vivo two-photon imaging, viral circuit tracing, and computational analysis to study how fronto-sensory feedback microcircuits contribute to adaptive cognition. The successful applicant
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clinical trials, and developing personalised models to understand therapy response characteristics. You will contribute to a pioneering tissue-focused research programme aimed at enhancing cure rates
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opportunity for a motivated researcher with a background in stem cell biology, neuroscience, or pain biology to contribute to a high-impact, collaborative programme at the interface of cell biology
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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/computational topology or algebra for biological systems and assist in organising activities relevant to this group. They will write up their results for publication, present papers at conferences and contribute
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Department of Clinical Neurosciences (NDCN), Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing
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developing high performance PV devices using perovskite photoactive materials. Experience of perovskite PV device analysis is essential, as is experience in the fabrication of perovskite PV devices. Experience
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and