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Field
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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(can be concurrent with PhD) Preferred Qualifications: • Experience and expertise relevant to neuroscience, musculoskeletal biology, pain research or genetics/epigenetics/transcriptomics. • Experience
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-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. Most teams associate fundamental
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Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
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. The successful candidate should also be detail oriented and enjoy a diverse working environment. Required Qualifications • PhD in biology, neuroscience, genetics or related field. PhD must be awarded no more than
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics