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(JARVIS) for data-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Keywords Machine learning
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. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and
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and dissemination efforts. Perform other related duties as assigned. Qualifications: A Ph.D. degree (by early 2027) in computer science, data science, statistics, bioinformatics, electrical
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, Computer Science, Applied Mathematics, or a closely related field. 2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to machine learning and AI
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. Education & Experience Required Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a closely related field. 5+ years of professional
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position in Physics and Astronomy will work at the intersection of physics, astrophysics, biotechnology, materials science, computational and experimental modeling, and artificial intelligence (AI
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activities in compliance with Argonne's safety policies, Safeguards and Security policies, work rules, and safe practices Position Requirements Completed Ph.D. in Computer Science, Materials Science
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://github.com/AD-SDL/MADSci AD-SDL organization on GitHub: https://github.com/AD-SDL Position Requirements Minimum of a Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field
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strong expertise in remote sensing, computer vision, and big image data analysis, focusing on developing novel algorithms for mapping and monitoring environmental change. Position 2, we emphasize
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Innovation: https://reporter.nih.gov/project-details/11294051 · WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https