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engineering, chemical engineering, electrochemistry, physics, applied mathematics, computational engineering or a related discipline Sound knowledge of numerical modelling and physics-based battery
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exactly solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and
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drought Motivation for modelling and data analysis Programming experience or willingness to develop it Good English communication skills (at least B2 level according to the CEFR: https://go.fzj.de
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-twinning methodology based on known system parameters and reference simulations Assessing the approach with regard to estimation accuracy, uncertainty quantification, numerical robustness, and computational
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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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numerical modelling and scientific programming in MATLAB Basic understanding of battery systems, electric vehicles, energy systems or power grids Experience with model predictive control, multi-objective
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for interdisciplinary research at the interface of energy systems, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific
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: https://www.hds-lee.de/admission/openpositions/ Your Profile Mandatory qualifications are: M. Sc. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and
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methodologies for machine learning systems Conduct comparative benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and