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Position Description Due to research needs, the research group of Professor Huai-Liang Chang at the Institute for Math & AI, Wuhan, and the School of Mathematics and Statistics, Wuhan University, is
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, including one from the doctoral supervisor (no restrictions on the recommender for postdoctoral fellows already in station). 2. The Institute for Math & AI, Wuhan (IMAI), in conjunction with the school where
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for Nuclear Theory, and to the Astronomy and Math departments, as well as to experimental groups in astrophysics, particle physics, and precision measurement. Applicants will be considered across areas
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near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to [email protected] For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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. Qualifications Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, or related quantitative fields and strong knowledge of a variety of biological areas of research with 0+ years
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department, see www.unifr.ch/math. Applications should contain: - letter of motivation - curriculum vitae - list of publications - concise statement of research - names and addresses (including email) of 3
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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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others, developing tools to support the creation of the data, and supporting the Math+AI laboratory. We are particularly interested in candidates with experience in Lean or other proof assistant languages
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, open workflows for the broader materials and AI research communities. For the postdoctoral fellowship, we seek candidates with a PhD in theoretical or computational condensed-matter physics, applied math
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Apply now Job no:499029 Work type:Postdoc / Research / Fellow Location:Denver, CO Categories:Postdoc / Fellow, Research Division: Natural Sciences and Math Position Summary The van Engelenburg