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data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying the different nucleation pathways for ice formation. You will collaborate with other researchers
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Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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Engineering » Systems engineering Engineering » Other Mathematics » Mathematical analysis Technology » Energy technology Researcher Profile Recognised Researcher (R2) Application Deadline 11 Aug 2026 - 21:59
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of abstraction, from concrete, experimentally grounded models of quantum systems to general mathematical frameworks, and using the insights gained at one level to inform the other. You are excited by
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cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with
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leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
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Engineering » Mechanical engineering Engineering » Systems engineering Engineering » Other Mathematics » Geometry Researcher Profile Recognised Researcher (R2) Application Deadline 1 Sep 2026 - 21:59 (UTC
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 16 hours ago
: Engage in numerical modeling research on unconventional EOR. Collaborate on the development and validation of reservoir simulation, geologic modeling, and geostatistical analyses guiding methodological
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implementing a mathematical model that assigns spaces and time slots in response to demand patterns, pricing incentives, and policy constraints, while producing KPIs such as demand served and rejected per user