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Field
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Help accelerate the electrification of industry by combining molecular and process-scale simulations for high-temperature thermal energy storage. Job description Carbon-based chemicals are essential
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and integrate the existing MATLAB-based HFMC model with Aspen Plus to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH
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help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulation! Future power systems are converter-dominated, fast, and interconnected across scales
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(ARG) needs no dynamic rate of self-fertilisation or hierarchical structure over processes on a host-to-host level. To estimate malaria epidemiological parameters using simulation-based inference, UniGEM
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
scientists from physics, chemistry, biology, medicine, and computer science collaborate to uncover fundamental life processes. With more than 40 research groups and about 1,000 employees from over 66 nations
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with MATLAB 5G Toolbox, Satellite Communications Toolbox, or equivalent simulation environments is considered an advantage Experience with software-defined radio (SDR), RF/IQ signal processing
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automated simulation, data-processing, and inverse-identification workflows Familiarity with optimization, Bayesian inference, uncertainty quantification, or machine learning methods applied to engineering
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: Understanding of the principles of atmospheric modeling, particularly using WRF-Chem. Knowledge of the physical and chemical processes simulated in the model, including cloud microphysics and interactions with
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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and unsupervised pattern recognition problems as well as decision making tasks. Your duties will include reviewing relevant literature, designing and simulating neural network models, analyzing and