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Field
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on Nanoparticles You will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include: Advancing equivariant neural network
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development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional machine learning models, natural
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of Civil Engineering in the College of Engineering at the University of Texas at Arlington invites applications for a Postdoctoral Research Associate. The position focuses on applying AI, machine learning
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partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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to the fundamentals of spatiotemporal data science and machine learning using scripting languages. Supervise BSc and MSc thesis students conducting research in Geo-information Science. You will work here The research
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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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researcher will conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more