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advanced quantitative methods to contribute to innovations in modeling psychological resilience among cancer survivors and populations at risk. Your tasks will include in detail: Design and lead method
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or group dynamics Interest in collaborating with colleagues from the field of physics Enjoyment of combining and expanding methodological approaches and developing new measures or models Willingness
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments FLEXIBILITY: Flexible working time models, including options close to full
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
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Your Job: The project focusses on Tans-Neptunian objects. The key objective is to develop ML tools that provide a quantitative assessment for the quality of fit between observed properties of Trans
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: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers