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considered). About You To be considered for this position you should; Hold a Ph.D./D.Phil. in Computer Science, Computational Biology, Bioinformatics or a related discipline Experience in both bulk and single
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM orchestration, with applications to Finance. This post is advertised as full-time (35 hours per week). We...
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic...
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Location: Parks Road, Oxford, OX1 3PJ About the role Dr Zhenyu Cai’s research group in the Department of Engineering Science seeks a highly motivated and exceptionally talented quantum theorist to lead projects aimed at developing a full-stack approach to suppressing errors in quantum hardware....
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We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year with the possibility of renewal. This project addresses the high computational and energy costs of...
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our research aims to optimise personalised treatment approaches for atrial fibrillation patients by using...
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our research aims to optimise personalised treatment approaches for atrial fibrillation patients by using...
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cytometry, in vitro infection techniques, and bio-informatic analysis is desirable. About the Institute The Blizard Institute was established in 2003, one of six Institutes within the Faculty of Medicine and