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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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join our accomplished team! Your working area: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at/ ) at the Department of Statistics and Operations Research (https
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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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StudyServiceCenter and four Departments (see https://univie.ac.at/psychologie) . The courses offered in Psychology includes a bachelor's, master's and doctoral studies. Currently there are nearly 4000 students
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-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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; to initiate an effort in computer-based formalization of foundational concepts and results in model theory, in particular, the theory of o-minimal structures and tame geometry. To bolster your own agenda, you
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how healthy we remain, how we feel, and how sustainably our society functions. With AIPN – AI‑powered Personalized Nutrition for well‑being and disease prevention (https://aipn.univie.ac.at
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. The platform uses the open-source DIRECT platform as its own instance (https://www.ewi-psy.fu-berlin.de/psychologie/einrichtungen/cmhds/direct/index.html )and is intended to be available to all psychology
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language besides English, Good command of the languages commonly used in liturgical studies (e.g., Latin, Ancient Greek...), Computer skills, Ability to work in a team. Also expected are: Specialization in