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intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and
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sciences and artificial intelligence, and translate your findings to improve human health? Are you excited to develop and use machine learning approaches to gain new understanding of the molecular physiology
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successful candidate is expected to participate in the research projects of the Dellago Group currently focusing on the development of rare event simulation methods and machine learning approaches to study
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command of English, both spoken and written Knowledge of German (if not the native language), or the willingness to acquire German Ability to work in a team, strong organizational skills, reliability, and
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. M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc
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of the candidate), in visualization and data analysis, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned
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therapeutic antibodies (fragments) and novel concepts for controlling the function of CAR molecules in patients as well as with structure-function relationships of metalloproteins. Glycobiology projects focus
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approaches in Human-Computer Interaction and Contextual User Experience. The Center for Technology Experience is acting in a variety of challenging application contexts. We are passionate about addressing the
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engineering, energy informatics, or a related field Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods