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. Interests could include geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and
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discipline/s and/or data stewardship for the position of Data Steward. Ideally, you have experience in the areas of data management and processing, quality control, data evaluation and analysis to understand
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of university processes and structures, experience in university self-administration Basic knowledge of other Slavic languages as well as non-Slavic foreign languages What we offer: Work-life balance: Our
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challenging topics such as (infinte dimensional) stochastic analysis, affine and polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic portolio theory
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; preparation and processing of technical and financial reports; maintenance and update of project web page; organisation of teleconferences / project meetings / workshops / conferences. In project proposals
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of influence: As a university assistant prae doc you will complete the research team around Prof. Dr. Christian Koller in civil procedure law. In addition to your independent research, you will contribute
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recommender engines (especially using graph learning methods) advantageous. First experience in university teaching advantageous. High level of motivation and commitment to succesfully complete your doctoral
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collective production/reception processes of literature/film initial practice in academic writing, possibly didactic skills, experience in e-learning respectful interaction, non-violent communication and
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the area of data privacy for dependent data and change-points in Gaussian processes. You publish internationally and give lectures. You apply for projects and raise third-party funds. You hold courses
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computer simulation techniques and uses them to study a broad range of condensed matter systems with an emphasis on the statistical mechanics of equilibrium and non-equilibrium processes. Members