10 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at King's College London
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research. About the role: We are seeking a data scientist with extensive expertise in statistics, machine learning and AI, and with experience in mental health research and the analysis of electronic health
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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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of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely with Professors Breen, Eley and collaborators across psychiatric genetics, clinical
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with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory or consultancy experience Understanding of implementation
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from all over the world, and teach them to engage in innovative and interdisciplinary approaches to understanding music and its experience. The Department hosts highly acclaimed lectures, conferences
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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tasks Ability to work both independently and collaboratively in a multidisciplinary team, with strong problem-solving skills and ability to take his/her own initiative Computer literate with advanced Word
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as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
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presenting results). Desirable criteria Wish to acquire knowledge and practical experience of nucleic acid analysis software (e.g. BLAST, Clustal Omega and primer design software). Capability in reviewing
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-moving environment for a motivated and quick-learning applicant looking to pursue a career in policy research. We expect applicants to draw on many disciplines and research methods, making use