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. Medical Informatics, Engineering, Mathematics, Statistics, Physics, or Computer Science. Experience in the application and development of data analytics methods (e.g. time-series analysis, signal processing
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Ginossar once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . How to apply Applications should be submitted via the Physics PhD programme page. In place of
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England, with a parallel qualitative process evaluation. The successful post-holder will have a leading role in the final workstream to co-produce the implementation strategy for programme outputs
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machine learning techniques, with a view to solving complex AI4Science problems in areas ranging from 3D generative models of proteins and molecules to physics and material simulations. Successful
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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About the role This is an exciting opportunity for a Lecturer in Muscle Biophysics to lead a dynamic and forward-looking programme in muscle biophysics based in the Randall Centre for Cell and
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using 3D Systems Phantom Touch devices (robotic arms which provide force feedback of simulated physical contact while measuring movement kinematics and force output). These will be integrated with bespoke
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Birkbeck, University of London, is seeking a passionate candidate to undertake a full-time PhD research in computing or mathematical sciences, and provide assistance to academic staff as a part-time
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industrial partners. The role will focus on developing advanced physics-based continuum models for sodium-ion batteries, with particular emphasis on hard carbon anodes and phase-changing layered oxide cathodes
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You will join our team at the Optoelectronics Research Centre and work on the Engineering and Physical Sciences Research Council funded project HyMeta: Hyperuniform Disordered Metasurfaces