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infection and computational modeling . Preference will be given to candidates with research experience in the core areas of the group’s research; The candidate should have good programming skills (e.g. python
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engineering Mathematics » Applied mathematics Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:00 (Europe/Athens) Country
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probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields Appl Deadline: 2025/11/11 04:59 AM UnitedKingdomTime (posted 2025
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experience or knowledge in one or more of the following areas are also a merit: Space physics Plasma physics Computational physics Applied mathematics and modelling Numerical methods for partial differential
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28 Mar 2026 Job Information Organisation/Company XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage
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of Mathematics and Statistics (SMS) in the College of Science at the Rochester Institute of Technology invites applications for a Tenure Track (TT) position in the field of pharmacometrics modeling, including
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medical studies. This broad interest in mathematical models and substantive data has created a collegial research environment among our faculty and also fostered many interdisciplinary collaborations across
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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https://www.compchem.lu.se
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly