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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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Sciences website: https://neutrons.ornl.gov/suites/diffraction As part of our research team, you will emphasize developing software analysis tools for multi-dimensional data analysis, real-time data
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join our accomplished team! Your working area: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at/ ) at the Department of Statistics and Operations Research (https
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Yale School of Medicine - The Center for Neuroethology and Physiological Plasticity | New Haven, Connecticut | United States | 3 days ago
The Center for Neuroethology and Physiological Plasticity (https://medicine.yale.edu/neuroethology-physiological-plasticity/ ) and the Department of Cellular and Molecular Physiology (https
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, federal, state, and local regulations, and institutional guidelines. Will perform research with BSL2/BSL3 bacteria and viruses and Select Agents in in-vitro and in- vivo models. Will also assist the BSL3
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laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
team of chemists, engineers, and materials scientists to identify sorbent properties, optimize formulations, and test operating conditions for separations. The candidate will also model system
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investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model