131 parallel-computing-numerical-methods positions at UNIVERSITY OF VIENNA in United Kingdom
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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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home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with the international scholarly community
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Prof. Hajo Boomgaarden, PhD. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication using computational methods. We strive to advance core
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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models
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materials discovery and machine-learning-accelerated materials simulation. You lead and guide the development of novel computational materials discovery and molecular simulation methods. You take a key role
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. Excellent knowledge of Modern Greek is required. Applicants should apply, in an interdisciplinary perspective, various approaches and methods that allow the study of all kinds of sources. Publications in
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instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
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structural manipulation using electron and ion irradiation combining experimental materials physics, atomic-resolution (scanning) transmission electron microscopy, single-atom spectroscopy, and computational
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. Interests could include geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and
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team: This is an opportunity to work towards a PhD in physics and to conduct world-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic