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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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Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research would be on the development of novel methods to solve game theoretic models in natural
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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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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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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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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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: 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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, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge
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Apply now Job no:535271 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Chemistry, Physics, Math Department: Institute for Fundamental Science Rank
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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