123 parallel-computing-numerical-methods positions at UNIVERSITY OF VIENNA in United Kingdom
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personal sphere of influence: The Computational and Soft Matter Physics Group at the Faculty of Physics invites applications for a praedoc position in the group of Prof. Christoph Dellago. The group develops
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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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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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influences water dynamics and greenhouse gas (GHG) fluxes using state-of-the-art geophysical methods (e.g., geoelectrical methods and nuclear magnetic resonance techniques) and biogeochemical measurements
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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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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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teachers, within more than 250 courses per semester. The position is offered by the Department of Cognition, Emotion, and Methods in Psychology. The successful applicant will work in close collaboration with
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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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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