15 scientific-computing Postdoctoral research jobs at UNIVERSITY OF VIENNA in United Kingdom
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academic excellence. Ready to be part of our team? Let’s shape the future together! About the team: Your future position is in the Research Group Scientific Computing at the Faculty of Computer
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of the Faculty of Computer Science of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and
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that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for
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. The Department is also part of the Austrian Science Fund Cluster of Excellence "EurAsian Transformations" and hosts both the Center for Interdisciplinary Research and Documentation of Inner and South Asian
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personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Does
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of Computer Science. The research focus of our group is on software architecture, software design and software engineering. Our team currently consists of 9 scientific as well as 2 administrative colleagues. We put
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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in computational surface science, electronic structure theory, computational materials discovery, or machine learning in materials science. Research competence and initiative proven through