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Field
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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, with 82 full time professors and over 1,800 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an
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metallic components (ferrous and non ferrous). Job Requirements: PhD (or Engineer with minimum 2 years of experience) in materials/mechanical engineering, in the field of solid state material recycling
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) School Harvard Medical School Department/Area Biomedical Informatics-Quad Position Description The Department of Biomedical
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
Massachusetts Institute of Technology, Schwarzman College of Computing Position ID: Massachusetts Institute of Technology -Schwarzman College of Computing -TAYEBATI [#30339] Position Title
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area Biomedical Informatics Position Description Postdoctoral Fellows in Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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in many cross-disciplinary fields (physics, materials science, and chemistry) related to metals under high electric fields, such as copper and tungsten. The research is based on training a machine