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of solid-state materials, with experience in density functional theory (DFT) and/or machine learning interatomic potentials. We welcome applicants with a broad range of research interests and experiences who
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intelligence, machine learning, deep learning, environmental modelling, climate-health research, early warning systems, or related fields. Have strong programming and computational skills in Python, R, MATLAB
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 16 hours ago
tokenization, text classification, and named entity recognition. Compare traditional rule-based NLP approaches with modern machine learning-based approaches and articulate when each may be appropriate in a
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches
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to regulatory agencies, investors, pharma companies etc. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Develop models
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analysis techniques, including stochastic processes and machine learning; expertise in analytical and numerical modelling of gravitational-wave sources, and the astrophysical processes governing
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models
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Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents