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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
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molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years or expect to complete it by January 2027. Visa sponsorship is not available
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research in AI/ML and first principles modeling. Strong preference will be given for candidates skilled in machine learning/data science that have materials engineering/science research skills. Please
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further areas are also within scope, and we expect the candidate to contribute to at least one: 3D shape analysis and geometric machine learning. Learning on meshes, point clouds, and landmark
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work as part of our UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu . Department Summary The Department of Mechanical Engineering has a mission to provide
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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work