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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving
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structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors
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multiple award-winning third-mission projects, an extensive network of partner schools and the opportunity to work with a dedicated team of seconded in-service teachers. You will also have the opportunity
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information and to submit your application, see: https://visess.univie.ac.at/phd-programme/funding-possibilities/visess-completion-grants/ . Your future tasks: You actively participate in research, teaching
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praedocs, 3 student assistant / e-multiplicators, 21 project staff and 3 administrative colleagues. What sets us apart as a team is our team spirit and cohesion as well as our mutual support; what is
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where multiple processes—like convection and diffusion—interact across vastly different scales. These differences give rise to small parameters in the equations and produce solutions with sharp gradients
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clients Ability to effectively manage multiple relationships of varying complexities, meet strict deadlines and work well under pressure Experience in supporting the sourcing and onboarding of new
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science field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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from you: Applicants should have completed their Master/Diploma degrees (or be very near completion) by the time of their application. We are looking for graduates from: Renowned management programs: e.g