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Field
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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soon as possible. The position is within the Math+ project "Anisotropic microfluids -- fluctuations, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect
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: Talya Saladino, +41 (0)21 693 17 19 Email: Postal Mail: EPFL SB MATH CRT / MA B2 424 (Bâtiment MA) / Station 8 / 1015 Lausanne Web Page: https://www.epfl.ch/en/
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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of producing academic journal articles is essential. You will likely have at least a Masters degree in Health Data Science, Data Science, Computer Science, Maths/Engineering, or a Medical Sciences subject, and
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Award to increase the advancement of women faculty in science, engineering, and math (see http://advance.washington.edu/ ). The UW and School of Environmental and Forest Sciences promote diversity and
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, engineering, and math (see http://advance.washington.edu/ ). The UW and School of Environmental and Forest Sciences promote diversity and inclusivity among our students, faculty, staff, and public. Thus, we
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assigned to the research project "Randomization of Surrogates for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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, Math/Statistics, or related field Preferred Qualifications: Strong interest and expertise in high-energy astrophysics, particularly in timing analysis Physical Requirements and/or Unusual Work Hours