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Field
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; Statistics in Biomedicine and Health Economics. Research often cuts across these areas. Much of the research is interdisciplinary and involves collaborations within and outside UCL. Each of the Departmental
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Creative Arts, Humanities, Social Sciences, Business, Engineering, Computer Science and Health
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About us Primary Supervisor: Dr Rebecca Baggaley Applications are invited for 1 PhD Studentship for students with a Home Fees status, based at the Institute of Health Informatics, UCL
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brings together expertise in health data science, microbial genomics, and cancer bioinformatics. Th selected student will work under the supervision of Dr Arron Lacey, a specialist in machine learning and
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW