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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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Science Center and will work closely with PI Kathleen Lotterhos. NUMSC a strong research presence in evolution and ecology research and there are many opportunities for interaction and collaboration both
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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About the Opportunity Performs basic or applied research of varying scope and complexity. Assists in the planning, interpretation, and publication of research results and grants. Ensures the laboratory is maintained and may exercise functional supervision over supporting research staff. May...
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structural engineering or architecture with a focus in computation. Key Responsibilities & Accountabilities (40%) Work with supervisor to develop a research topic and write a paper for conference or journal
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program that takes a lifespan approach using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological
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), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. This project is part of
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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multiple projects lead by the graduate students in the group and co-advise the graduate students. The candidate is expected to publish and present research findings in the computer science research