77 computer-programmer-"the"-"IMPRS-ML"-"U"-"Zintellect"-"U.S" positions at University of Vienna
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reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
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programme of high-quality empirical research commensurate with the level needed for a PhD qualification, which advances the field of Environmental Psychology • Publish (or submit for publication) at least
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high
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Law or a related subject that allows registration in a Law Faculty doctoral programme at the University of Vienna, for example in the doctoral programme Interdisciplinary Legal Studies. • Desired
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are enrolled in Bachelor's, Master's and PhD programmes, attending nearly 200 courses per semester, which are taught and supervised by 220 teachers. As a university assistant Post Doc you will join the
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including PhD students, postdocs, faculty (Karel Kriz, Andreas Riedl), scientific programmers, and other project personnel with a diverse set of backgrounds and expertises including geo-communication, GeoAI
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, please sketch a doctoral research program This is part of your personality: • Ability to work under pressure • Problem solving skills • Excellent communication skills • Ability to work in a
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apply: Letter of Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and
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Limited contract until: Job ID: 4344 The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through a new Data Stewardship program