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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and evaluation strategies for large amounts of data (such as programming languages Python and/or R
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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of Vienna (with 20 faculties and centers, 184 study programs, approx. 10,400 staff and nearly 90,000 students) is seeking to fill the position of a University Assistant ("post doc") at the Discipline of Alevi
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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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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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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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to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar
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analysis and digital processing of chemical data sets as well as automation in the laboratory. In addition, you will introduce simple digital solutions in laboratory teaching in the Bachelor's programme in