115 computer-programmer-"https:"-"FEMTO-ST"-"Inserm" "https:" "https:" "https:" "https:" "https:" "J" positions at Nature Careers in Austria
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department. Area of Research : Candidates with an internationally competitive scientific track-record and an innovative research program in molecular biology, biotechnology and/or synthetic biology of
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an interdisciplinary manner. Applicants are expected to lead a future-oriented and interdisciplinary research program focusing on research at the interface of medicine, biology, and information sciences using modern
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research areas, please visit https://isor.univie.ac.at/research/ . Ideally, your research interests should match or overlap with those of an existing working group at the institute. Your future tasks: You
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and regulations). Find out more about us: https://flpa-psy.univie.ac.at Your future tasks: As Head of the Outpatient Unit for Research, Teaching and Practice, you will take on the following tasks
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for a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.12.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until
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Data Science” (https://mathematik.univie.ac.at/forschung/computational-mathematics-and-data-science-comada/). Within this focus area, there is expertise in fields that are of great important for
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their passion and determination? We are currently seeking a/an University assistant predoctoral in Business Analytics and Operations Research 39 Faculty of Computer Science Startdate: 01.01.2026 | Working hours
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areas of work here: https://lit-ktf.univie.ac.at Your future tasks: You will actively participate in research, teaching and administration, which means: • Preparation of a dissertation at our Department
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preregistration. Applicants are asked to describe how they have implemented these principles in their previous research and how they plan to promote them in the future. The Department of Occupational, Economic, and
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working across topics and will: Plan, develop and apply advanced computational methodologies to gain fundamental biological insight in the context of diverse single-cell datasets. Drive innovation and