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at the Institute. The fellow may be invited to teach a Harvard class during the course of their appointment. Basic Qualifications Candidates must have received their PhD no later than February 2027, and must have
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research experience and to learn from leading academics. The ideal candidate for this role will have a strong research background with experience of a variety of qualitative and quantitative methods, and a
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/an ... University Assistant postdoctoral 34 Faculty of Law Startdate: 01.10.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 6131 Explore and teach
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, or experimental testing of plasma devices within vacuum chambers, and a demonstrated aptitude for learning new fields of research. The person should have a PhD, or equivalent qualifications and experience, in
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designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong
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to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 7 days ago
well as surface science techniques generally, is an advantage Readiness to learn and apply new experimental techniques Willingness to work in an interdisciplinary field and an international work environment Fluency
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public health preparedness, laboratory biosafety and biosecurity, regulatory oversight, and risk reduction. Under the guidance of a mentor, you will learn from DRSC's Policy and Communications Team engaged
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-quality issues in bulk storage and food facilities. You will join and learn from a community of scientists and post-docs in the unit engaged in efforts to integrate and analyze data from volatile-gas
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and