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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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abroad Knowledge of university processes and structures Experience of supervising students Organization of academic events and conferences Experience in research project management What we offer: Work-life
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of electronic structure and computational materials discovery. In this role you will be performing first principles-based simulations for the description of chemical and structural dynamics in the context
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willingness to get involved in teamwork know-how in the area of university procedures and structures What we offer: You are part of an academic team offering an excellent research infrastructure and a
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and/or e-learning experience; familiarity with university structures and procedures; international academic experience What we offer: Work-life balance: Our employees enjoy flexible working hours
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the employment period. Experience abroad is advantageous as well as familiarity with procedures and structures of university administration. What we offer: You will be employed for 40 hours/week. Employment starts
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Publications in renowned, subject-relevant media Subject-relevant practical experience Subject-relevant experience abroad Desirable qualifications are Knowledge of university processes and structures Experience
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measurements and methods for the characterization of the materials structures, compositions, and functionalities. The position is advertised for 3 years. Your future tasks: You actively participate in research
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techniques. Identifying potential new markers via structural elucidation. Supporting the application process for projects and securing third-party funds. Independently conducting courses, primarily in
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: Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna. Dedicated to a mechanistic