29 parallel-and-distributed-computing positions at University of Copenhagen in Denmark
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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wave physics and strong gravity. All topics related to formation of black hole mergers and other gravitational wave sources are of high interest, both from the computational- and the theoretical site
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knowledge with society. Participating in Center activities. Participation in formal pedagogical training program for Assistant Professors. Participation in development activities for Tenure-Track Assistant
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more than 1300 Danish 6-11-year-old children. This included food and nutrition intervention components in the form of a school lunch programme, activities in the local supermarkets and SFO and practical tools
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The Department of Food Science, section of Ingredient and Dairy Technology, invites applicants for a fulltime postdoctorate fellowship in formulation and digestion of plant based foods. The position is for two years, with possibility of extension. The project is part of the larger research...
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www.transition.ku.dk The PhD program is a study program, which aims at training PhD students, at an international level, to undertake research, development, and teaching assignments. These qualifications open a window
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ability to document a high level of original scientific work at an international level within the area of immunological bioinformatics. The professor will lead a research program that expands expertise in
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Condensed Matter Physics 1 (CMP1) (skema A) 70 timer Scientific Computing (skema C) 80 timer Astrofysik og Kosmologi (skema C) 80 timer Blok 2: Elektrodynamik og bølger (EM2), regneøvelser (skema A) 110 timer
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, the Assistant Professor will have to complete didactic pedagogical training. Interested candidates that demonstrate a high research output may be able to enter into a clinical training program, such as a
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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models