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& Simulation Installation is open to experimental users with no experience in modelling and simulation, as well as to experimental and computational users with experience in the field. Projects from experimental
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computational techniques, including finite element modeling, phase field modeling, ab initio calculations, and molecular dynamics simulations. Complementary experimental work such as microscopy and
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) macroeconomic models (e.g. Eurogreen, LowGrow SFC, PyMedeas) would be advantageous. Experience with ecological macroeconomic models or other computer simulation models of the economy Knowledge of post-growth
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internal combustion engines (ICEs). The candidate will focus on combustion modeling, experimental validation, and system integration to enhance efficiency and reduce emissions. Key areas include ignition
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Offer Description Mission: Develop and execute experiments and CFD modeling to understand the dynamics of forest fire suppression. Functions to be developed: Design an experimental protocol for laboratory
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(data analysis and/or modelling and/or inversions) Experience with machine learning techniques Experience with pipeline development and testing (gitlab, docker, simulated light curves…) Experience with
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resulting from these ego-network data using simulations. They will write first-authored scientific papers for international journals about these analyses and may be involved in collaborative papers of others
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interventions; • Excellent methodological skills in social science research design, with particular emphasis on at least one of these: (i) advanced statistical modelling, (ii) computational methodologies (e.g