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an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
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collaborative research agenda. The successful candidates will work at the interface of applied mathematics, statistical inference, machine learning, and quantitative/systems biology, developing methods
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to work both independently and collaboratively in a research team. ● Excellent written and oral communication skills in English. Brief Description of Duties: The Postdoctoral Associate will assist
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computational innovations to enhance model efficiency, architecture, and performance. ● Collaborate on additional projects using text and vision models building on their own research interests. ● Co
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benchtop tests to outdoor flight demonstrations. The Postdoctoral Associate will assist the Principal Investigator Dr. William Stewart in the Department of Mechanical Engineering and collaborate closely
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analysis. ● Prior work on kinase or other signaling-protein conformational dynamics, phosphorylation-driven activation, or allosteric regulation. ● Familiarity with machine learning and deep learning
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imaging, and image analysis. ● Coordinate with collaborating laboratories and harmonize protocols. Data Analysis and Reporting: ● Analyze experimental data using statistical and bioinformatic
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subtropical meteorology (e.g. sea breeze), and precipitation processes. The successful candidate will collaborate on interdisciplinary projects integrating atmospheric science with advanced computational
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subtropical meteorology (e.g. sea breeze), and precipitation processes. The successful candidate will collaborate on interdisciplinary projects integrating atmospheric science with advanced computational
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Postdoctoral Associate to join the research laboratory of Dr. Kathryn Gunn. The successful candidate will contribute to a collaborative research project investigating vesicular storage of pancreatic metabolic