20 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at King's College London
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, multimodal imaging, and AI-assisted diagnostics to enable safer and more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning
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(KCL, London, UK) but will also have the opportunity to travel and work at the Centre for AI and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future clinical trials. You'll also benefit
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms of computer simulation, Large Language Models, or machine learning etc, but a working
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: Pharmaceutical Biophysics, Chemical Biology, Drug Delivery, Pharmacology and Therapeutics, and Clinical Practice and Medication Use. There is a vibrant PhD programme with more than 100 students, and a
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slavery and war. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform
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and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Proven experience in managing research projects within healthcare or educational settings, including
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical