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will also be determined by the funding available. About you You will hold a PhD/DPhil, or be close to completion of a PhD/DPhil in a related discipline. You will have experience in recombinant protein
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
opportunity? Please email [email protected] Qualifications The candidate should have a PhD in Mechanical Engineering, Aerospace Engineering, Materials Science and Engineering, or a related technical discipline. The
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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: - Build a ultrafast electron microscope - Combine the tools and techniques of electron microscopy and ultrafast spectroscopy - Plan undergraduate lectures - Write grants - Interact and train graduate
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at FTPI in quantum many body systems, including superconductivity and correlated electron systems. The position is needed to accelerate the projects. Qualifications Required PhD in Physics by beginning date
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milestones. Major Duties/Responsibilities: Utilize techniques such as optical microscopy, scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), and transmission electron microscopy (TEM
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, supervise junior researchers and students, and contribute to teaching activities in AI and data science for medicine Your Profile PhD in Artificial Intelligence, Computer Science, Data Science, Computational
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, patents, journal papers, and conference publications, participate in proposals, and estimate costs. Basic Qualifications: A PhD degree in physics, optical or electrical engineering, nuclear engineering, or