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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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Job related to staff position within a Research Infrastructure? No Offer Description Job description The postdoctoral researcher will work on robot learning for manipulation, exploring state-of-the-art
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Cornell University, Department of Global Development Position ID: Cornell-Department of Global Development-PDA [#30767, WDR-00051028] Position Title: Position Type: Postdoctoral Position Location
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://www.maynoothuniversity.ie/physics/our-research . This position is part of the CARINA project which is funded through a Research Ireland Frontiers of the Future grant. CARINA stands for Combining Machine Learning with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for a highly motivated Postdoctoral fellow to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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for AI and Machine Learning included as well as industrial statistics), which will complement our current research portfolio (see https://stat.kaust.edu.sa) and have a research profile that can potentially
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software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical