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Field
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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, diverse, and multi-institutional team, including experimentalists, design engineers, and computational scientists, on the design and optimization of tritium breeding blankets and fusion reactor cooling
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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-brain barrier research. Ideal candidates will have: 1.A PhD in the life sciences 2.A solid background in cell culture and tissue engineering approaches 3.Knowledge in Neuroscience and Stem Cell Research 4
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Post-Doctoral Associate in the Center for Translational Medical Devices (CENTMED) - Dr. Panče Naumov
with CENTMED staff and leadership to prepare technology documentation and facilitate the translation of innovations to industry. Applicants must have a PhD in Chemistry, Physics, or Materials Science The
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. Experience with both experimental and computational approaches is desirable, as is proficiency in widely-used microbiological methods. The Aylward lab is a vibrant and dynamic work environment that welcomes
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Plasma Physics Lab and in the Physics, Geosciences, and Mechanical and Aerospace Engineering Departments, and at the nearby Institute for Advanced Study. The expected start date is September 1, 2026
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publications Work effectively in a large, multidisciplinary, multi-institutional team of scientists and engineers. Basic Qualifications Must be a recent (within the last three years) PhD graduate in Biochemistry
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proposal development. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Computer Science, Applied Mathematics, Engineering, or a related field. Strong programming experience. Knowledge of inverse