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/ Discipline: • PhD in organic chemistry, with strong experience in polymer and/or organic chemistry and synthesis, as evidenced by previous research stints.
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• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python
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theoretical or computational condensed-matter physics, applied math, computer science, or a related discipline by the appointment start date. The fellowship is a full-time 12-month appointment with
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. Qualifications and personal qualities: Applicants must hold a PhD or equivalent doctoral degree within atmospheric physics, meteorology, climate science or machine learning. PhD-students may apply if defence of
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. • Contribute to the development of future grant applications. • Other activities as required. QUALIFICATIONS Required Qualifications • PhD completed within the last 5 years in Computer Science, Data Science
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advertisement About the position We invite applications for a Postdoctoral Research Fellow position in action-oriented modeling for trustworthy AI, available at the Department of Informatics, University of Oslo
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- $118,416 p.a. (*PhD entry level $110,319) Level B: AUD $124,656 - $148,023 p.a. plus 17% superannuation Advance avian developmental biology and embryology / uncover the basis of skin appendage patterning
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applications for position as PhD Research Fellow in Digital Entrepreneurship available at the Department of Informatics. The fellowship period is three (3) years. Starting date no later than January 5, 2027
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Public Policy (STPP) program at the Gerald R. Ford School of Public Policy has recently launched the Michigan Science, Technology, and Public Policy (MiST) Fellowship program, which embeds fellows in
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expertise from computational sciences, chemistry, pharmacy, biology, and medicine. The convergence environment comprises three PhD positions and one postdoctoral position. PhD Position within PERMEATE We