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copy of the relevant diplomas showing marks, indicating the grading system List of publications, if applicable Name and addresses of at least two referees Early application is highly encouraged, as the
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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will aim to design solutions to reduce the handover and roaming procedure time, validate the resulting approaches using simulations firsthand, and then implement them on practical testbeds. You will be
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications