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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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scientific independence, including opportunities to develop first-author publications and pursue independent funding to embark on an academic career in the area of nephrology. This position is ideally suited
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science
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of the Postdoctoral Associate is to join an exciting neuroscience project developing and utilizing new optical and molecular tools to study neural circuits. Under the direction of the Principal Investigator (PI), Dr
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Associate will conduct translational epilepsy research focused on the network mechanisms of ictogenesis in mesial temporal lobe epilepsy (MTLE). The researcher will develop and validate quantitative, event
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include but is not limited to 1) developing, validating, improving and applying cell-based and other preclinical models to understand the functions of lipids, lipoproteins and related factors in influencing
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include (but are not limited to) developing/applying new approaches to improve range shift projections under climate change, regionally modelling organism-environment interactions across species ranges
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play a key role in ongoing clinical trial on exercise research and developing studies investigating the interplay between longitudinal cognitive outcomes, neuroimaging and vascular risk factors using US
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administrative and population data sources. They will contribute to the development of peer-reviewed manuscripts, scientific presentations, and grants. They will work collaboratively in teams and engage in other