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Bio Process Development Unit (ABPDU ). In this exciting role, you will develop AI-driven predictive metabolic models of cell physiology, metabolism, and functional behavior. You will have the
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Energy Institute aims to help to build a globally sustainable energy system, by bringing to bear multiple disciplinary perspectives to observe, analyse, model and interpret energy use and energy systems
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 22 hours ago
on the development and application of artificial intelligence, machine learning, mechanistic modeling, mathematical modeling, and simulation methods to pharmaceutical manufacturing and product characterization
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led byHéctor García Martín
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09.09.2026 Application deadline : 31.10.2026 Postdoctoral Research Fellow in Computational Modeling of Digital Education Data (100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a bright
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This position supports Work Package 3 (WP3) of the MCCS project “Measuring and modelling blue carbon dynamics in Singapore (BlueCarbonSG 2.0)”. The Research Fellow will develop physical and
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physics, non-Hermitian theory, and nonreciprocal thermal photonics. The role will focus on the theoretical modelling, numerical simulation, and experimental analysis of diffusive and thermophotonic systems
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/09/2026 Role Description We welcome applications from skilled researchers with a passion for advancing simulation, modelling and control technologies for automated cars. About the Role The postholder
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applications from skilled researchers with a passion for advancing simulation, modelling and control technologies for automated cars. About the Role The postholder will contribute to the delivery of high-quality
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project with a large consumer goods company, where you will develop an evaluation framework for vision-language model (VLM) with applications in the personal care sector. The research focuses on fine