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of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research independence, the capacity to support junior team members, and strong communication skills
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About the role We are seeking an enthusiastic individual with the appropriate disciplinary experience for the post of Lecturer in Computer Engineering, who are interested in developing
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skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning approaches. Experience in
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. Willingness to collaborate across disciplines and contribute to a dynamic, outward-facing programme team. Essential criteria PhD in computer science, artificial intelligence or related field Ability to teach
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, CPRD) or hospital electronic health records Experience with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory
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genetic correlations, development and evaluation of polygenic scores, and integration of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely
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such as big and open data, cultural curation and preservation, digital labour, global infrastructures, networked identities, and democracy. King's College London has a long tradition of research in
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broad range of NLP tasks, including information extraction, relation extraction, clustering, classification, sentiment analysis, topic modelling using machine learning and NLP methods including rule-based
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are seeking a postdoctoral research associate to contribute to an innovative EU Pathfinder project at the intersection of polymer chemistry, molecular dynamics simulations, and machine learning. The primary
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac