638 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" PhD positions in United Kingdom
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Industry PhD Scheme, and University of Birmingham, with the project being industrially co-supervised by Dr Andy Corbett and Dr Cyd Cowley from digilab. References: https://doi.org/10.1016/j.matchar
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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Topological Data Analysis for Multimodal Neuroimaging: MRI and NIRS Biomarkers of Brain Change DoS Dr Nathan Broomhead (nathan.broomhead@plymouth.ac.uk, tel.: +441752586874) 2nd Supervisor Dr Mariam
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Optimisation for Distributed ML Systems” in the ‘Research Topic’ section of the application form, and the research supervisor (Dr Jianyi Cheng) in the ‘Proposed Supervisor’ section. Failure to do so may affect
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may be removed before the deadline. Modern low-carbon energy systems such as photovoltaic (PV) arrays and battery energy storage systems (BESS) generate extensive measurement data (electrical, thermal
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well as the constructed Brain Research and Imaging Centre (BRIC; https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-centre ). For more details of the School’s research activity, please visit our
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. More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk/study/postgraduate-research/areas/forensic-and-neurodevelopmental-science
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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synthesis, qualitative interviews with key stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will
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Resalati Supervisors: Dr Aydin Azizi Contact: Prof Shahab Resalati (sresalati@brookes.ac.uk) Entry requirements: Essential Criteria A Master’s degree (or equivalent) in Electrical Engineering, Control