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motivated candidate to pursue his/her doctoral thesis within the research fields covered by our research group. These could be, for instance, theoretical and numerical improvements of FLEXPART, development
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-supported methods for creating laboratory reports as a key component of learning scientific writing. Implementing computer-based experimental techniques. Training student assistants and tutors. Keeping up
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polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic portolio theory, control theory and contemporary stochastic volatility modeling. The successful
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, numerous and diverse projects address the functioning of soils, plants, microbiomes and their interactions.
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the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks
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test plans for process and material investigations, as well as a solid understanding of materials science. Experience in characterisation methods, particularly diffraction techniques, is an advantage
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flexibility concerning the start-date The candidate will be enrolled at TU Wien What to expect: EUR 2.786,10 gross per month (14 times / year), for 30 h / week. In addition to numerous events, seminars
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at the Institute of Physical Chemistry studies structure and dynamics of molecular processes. We apply static and time-resolved vibrational spectroscopic methods. To strengthen our team, we are looking for a PostDoc
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a related discipline. You have in-depth knowledge of methods of empirical social research, especially quantitative methods and statistical data analysis. You are interested in an international
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the lighthouse project AI Enabled Sustainable Automation, where new methods and technologies are developed to enable zero-defect manufacturing in high-pressure die-casting. In die casting, molten metal is