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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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, Synthetic Data for Machine Learning in Privacy Research, Formalization of Security Risk Management, and Security and Privacy of Blockchain Technologies. In the long term, we are concerned with understanding
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publication and presentation activities • Project application and acquisition of third-party funding • Participation in the further development of CIRDIS, HAV and COE Your profile: • Doctorate/PhD in
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; Contributing to the publication and dissemination of project results; Participation in project work and meetings, actively contributing to the ALTERBIOTIC research team. Your qualification: A completed PhD in
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committed academic teacher who can teach a wide range of topics in the field of GFL didactics/methodology and is willing to serve as advisor at the bachelor’s, master’s and PhD levels. The tenure track
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well as modern molecular tools in taxonomy. Strong commitment to be actively involved in teaching at all levels (Bachelor, Master, PhD) is expected. The TT position is embedded in an active and stimulating
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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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will include the processing of nutritional epidemiology data sets and the writing of scientific publications. You will pass on your know-how to Master's and PhD students and take responsibility for your
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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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). Experience in scientific writing and research methods (copy of the Master's thesis, as well as list of publications and presentations, if applicable). High scientific qualification in numerical methods and