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in geophysics, physics, geosciences or a closely related field Experience in data assimilation and numerical simulations Knowledge about geomagnetic field evolution (secular variation, reversals
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surrogate models that approximate complex physical and biological systems traditionally modeled by PDEs or other computationally expensive simulations. By incorporating physical priors such as conservation
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on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with
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, or in information quality for decision-making. Are skilled in quantitative analytical methods, and ideally have some experience with simulation techniques. Research tasks Review and assess technologies
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-evolutionary simulation. The position is available from 1 March 2026 or as soon as possible thereafter and is for 2 years. Qualifications and competences Applicants must have a PhD degree or equivalent or have
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for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
. degree in Computer Science primary, or related field (in the latter case, special emphasis will be placed on assessing programming proficiency). Comprehensive background in modelling, simulation and
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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have experience in mathematical modelling or simulations, preferably of biological systems. We encourage candidates from diverse departments, such as physics, computer science, applied mathematics
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics