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Field
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ASDs in humans to determine how disruption of these genes alters brain development and the neural circuits underlying simple behaviors. Our long-term goal is to use this gene-based approach to identify
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Positions in Computational Neuroscience & AI Mission The A. Mathis Group for
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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disorders, particularly autism, using novel computational approaches, neuroimaging-derived brain circuit fingerprints and transcriptomic signatures. A second project focuses on developing multimodal
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, and the work will be conducted in the 3D growth group in The Life and Mind Building, South Parks Road, Oxford, OX1 3EL. The post holder will become a member of the 3D growth group and contribute
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Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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studies how the infant brain learns about the social world and how early-life experience shapes neural circuits with long-term consequences for learning, attachment, and mental health. Our work focuses on
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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Storage (SOLIS) project is an EPSRC-funded Critical Mass Programme focused on developing innovative, scalable and cost-effective solutions for long-duration interseasonal heat storage technologies
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validity of the proposed methodology. Analyze multi-modal neuroimaging datasets provided by the UCSF scientists (e.g., Adolescent Brain Cognitive Development Data) and summarize results by publishing in peer