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Description Scientific Profile The professorship focuseson the methodological foundations and applications of probabilistic machine learning methods in the interdisciplinary context of a comprehensive
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» Biological engineering Physics » Chemical physics Physics » Applied physics Chemistry » Physical chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Oct
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quantum chemistry software capable of simulating molecules Ideally, prior experience with embedding methods or molecular crystals Excellent knowledge of written and spoken German and English Scientific
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numerical methods (e.g lattice gauge theory, dynamical triangulation or event generators) preferred Documented (co)supervision of PhD students Enjoys scientific work and dealing with students Sense
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“Translation, Migration, Minorities” Opportunity to write a postdoctoral thesis (habilitation) related to the above-mentioned research focus Contribution to the development of new methods and formats
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on a research focus of the guest professor is to be designed and conducted The guest professor would be expected to be present in Graz during the semester Your Profile PhD in a relevant academic
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You have experience applying clinical assessment tools in research and teaching (e.g., SCID-5, CIDI, DIPS) You have a good understanding of quantitative research methods (e.g., regression analysis
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hours as well as participation in teaching and examination tasks of the Center for Psychotherapy at the University of Graz Participation in the conception of new academic teaching methods and courses
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support of students at the Department of Environmental Systems Sciences Participation in organizational and administrative tasks as well as evaluation measures Your Profile Completed doctoral or PhD degree
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the department’s interdisciplinary projects and industry projects within the framework of the "Living Lab Mathematics in Applications" Support in the further development of the department’s own software packages