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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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models. Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models. Contribute to the research and development
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, applied mathematics, or related fields. The ideal candidate should be organised, highly motivated, creative, and interested to work as part as a collective. A strong track record of first-author
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; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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to a single 12-month term. Required Qualifications - Doctoral degree in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics, or related discipline; - Ph.D. must have been awarded
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Postdoctoral Research Associate ( Job Number: 25000542) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: 104 Contracted Hours per Week: 35
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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients...
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Sciences | College Administration Natural and Mathematical Sciences The Post Doctoral Scholar will play a key role in advancing interdisciplinary research in STEM higher education to evaluate student