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BACKGROUND The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The Alan Turing
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applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
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team and should be a self-starter with the ability to manage multiple activities, while conducting individual research and disseminating results. Experience in statistically analyzing and interpreting
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. You have: • A PhD in epidemiology, public health, medical statistics or other relevant quantitative discipline • Significant experience of research in an academic setting • Experience
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or behavioural data Ideating, designing and conducting neuroimaging/behavioural studies on statistical or aversive learning, using computational and neuroimaging research methods in humans Dissemination
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or behavioural data Ideating, designing and conducting neuroimaging/behavioural studies on statistical or aversive learning, using computational and neuroimaging research methods in humans Dissemination
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, but not limited to, health informatics, digital health, bioinformatics, statistics, genetics, epidemiology, computer science, information systems engineering). Experience or knowledge of the role
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matter systems is also required. The role holder responsibilities will include carrying out their research in computer simulations and statistical mechanics of biomolecular liquid-liquid phase separation
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to applicants with experience in one or more of the following: machine listening, deep learning, acoustics, signal processing, computer vision, spatial audio, NLP, statistical analysis, software development
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recombinant DNA and cloning techniques. Required computer skills include use of Microsoft Office, statistics and graphing packages; desired skills include familiarity with web-based analytical tools for basic