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for this position will be included in a Job Pool that may be considered for future project requirements Eligibility criteria Training and experience in physical-mathematical modelling of complex biological systems
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20 Mar 2026 Job Information Organisation/Company Warsaw University of Technology Research Field Biological sciences » Biological engineering Computer science Mathematics » Mathematical logic
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
state-of-the-art imaging techniques with software-supported analysis of flow dynamics and mathematical modeling for the precise characterization of hemodynamic mechanisms in atherosclerosis. In research
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modelling, nonlinear science, wave propagations in lattices, fluid mechanics and financial mathematics. About You The successful candidate will be expected to contribute to teaching and curriculum development
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25 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Technology » Energy technology Researcher Profile Recognised
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Description As a component of the faculty cluster initiative, the Chancellor’s Faculty Excellence Program , NC State University is recruiting one tenure track Assistant Professor in mathematical modeling
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application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit coordinates the Interdisciplinary Center of Mathematical Modelling
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 15 days ago
Coordinate contribution to modelling projects and platforms supporting reporting, communication andmeeting organization Where to apply Website https://jobs.helmholtz-hzi.de/job-invite/654/ Requirements
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. IRT relies on statistical models in which an unobservable quantity—the latent variable—represents the ability or trait score. However, this latent variable is not uniquely defined, as an infinite number
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods