140 web-programmer-developer-"https:"-"https:"-"https:" positions at University of Vienna in Austria
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are an interdisciplinary research team working at the interfaces between nutrition and the development of metabolic diseases as well as healthy aging. We build on a good working atmosphere, close collaboration with our
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organise scientific events. You prepare and complete a publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master
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responsible; liaison with international project partners; project progress monitoring; preparation and processing of technical and financial reports; maintenance and update of project web page; organisation
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independent research and developing research projects in the core disciplines of Islamic theology, you will be responsible for teaching at the Department. Your future tasks: Active participation in research
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demand for excellence, conduct top-level international research and teaching. Are you also looking for the right space to develop your potential? We are looking for a/an University assistant predoctoral 34
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sphere of influence: The Konrat lab is developing NMR spectroscopy methods for structural cell biology and is looking for a PhD student to join the team. The employment duration is 3 years. Initially
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experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial
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CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 4874 The position is part of the Solar System Evolution group led by Ass.-Prof. Kristina Kislyakova. The main research direction
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Participation in publications / academic articles / presentations Doctoral students who are already enrolled in a programme and have not yet received approval of their research proposal may use the employment
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods