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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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/algebraic statistics in the School of Mathematics at the University of Edinburgh. The post is available from 1st September for a 36 months fixed-term, full-time contract with a potential 6 month extension
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help! We have several fully-funded open PhD and Post-Doc positions (m/f/d, E13 TV-L) in our group - which just moved from the Max Planck Institute in Erlangen to the University of Tübingen, one
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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remote and regular on-campus working. Your skills and attributes for success: An excellent research project A PhD or equivalent in history, history of science, mathematics, or any discipline relevant for
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field
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papers. Requirements: Education: PhD in Physics or related degree Knowledge: Complex oxides (Ferroelectrics, antiferroelectric, nickelates, etc), nanomechanics, photovoltaics, scanning force microscopy
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students, for up to a maximum of 20% of your time. This position is a full-time temporary employment for two years. Eligibility The applicant should have a PhD degree in a relevant area, such as mathematics