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focus on performing analysis of the data and computational modelling of neuro-circuits. The project will be carried out with Professor Daniele Faccio at the Advanced Research Centre, University of
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announcement: https://www.lunduniversity.lu.se/shape-future-research Duties We want you to thrive and make the most of your time at Lund University and the Faculty of Medicine. As an assistant professor, you
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Mellon University is looking for a talented postdoctoral associate to interrogate the circuit dynamics underlying motivated behavior. We are looking to explore the electrophysiological properties of neural
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at appointment. See the following table for the salary scale for this position (Salary Scale Represented: https://www.ucop.edu/academic-personnel-programs/_files/2024-25/july-2024-scales/t37-b.pdf ) (Salary Scale
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circuits through assisting with participant recruitment, scheduling, data management. The role involves regular travel for MRI visits and community partner recruitment efforts within Omaha. The Clinical
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cation transporter 3 (OCT3) Hormone replacement therapy and breast cancer risk and outcomes in germline BRCA1 and BRCA2 variant carriers Neuroscience & Systems Biology Prefrontal circuits for value-based
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that lead to neurodevelopmental and neurodegenerative disorders. We are developing bottom-up approaches to generate and assemble, from multi-cellular components, human neural circuits. More specifically, we
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, including switchgear, transformers, generators, and protection schemes Perform power system studies such as load flow, short-circuit, and protection coordination Operate and control high-power or high-voltage
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& Experience: PhD or working towards equivalent R&D experience in Power Electronics, RF Electronics, Analogue Circuit Design, Pulsed Power, or similar areas. A desire to apply your knowledge to multi
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning