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. See https://sites.harvard.edu/sompolinsky-group/ for more information. This position targets computational and theoretical neuroscience research on cortical computations with structured knowledge
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form one of the most dynamic neuroscience communities in the world. For examples of our current directions, see: • Chou et al The Innovation 2025, www.cell.com/the-innovation/fulltext/S2666-6758(24)00173
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Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
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variation in brain energy use, the experiential drivers of that variation, and possible impacts on downstream traits including growth patterns, body composition and critical periods in cognitive development
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; and large-scale connectomic reconstruction of detailed brain circuitry. Basic Qualifications A PhD in theoretical neuroscience, physics, computer science, or related fields is required. Applicants must
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neuroscience, or a related discipline Research experience in early cognitive development / implementation science Excellent statistical abilities, demonstrated proficiency in statistical language (e.g, R
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of neural circuitry across rodent species to bridge this knowledge-gap. Position Requirements Candidates must hold a PhD degree (or equivalent) in neuroscience, biomedical engineering or a related field. The
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project will benefit from close collaboration with leading systems neuroscience groups at the Crick, offering a dynamic and supportive research environment. If you have a PhD in Neuroscience or a related
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excellence and interdisciplinarity across the breadth of psychological and behavioural science. The Department’s research groupings reflect our major areas of activity: Cognitive Neuroscience, Developmental
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in the field of cognitive neuroscience, physical activity, data science, engineering, brain imaging or related fields. Expertise in one or more of the following fields, including: Brain imaging