44 parallel-and-distributed-computing-"Multiple" positions at University of Copenhagen
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usually have components in all the disciplines: applied data analysis, development/application of advanced statistical methodology, coding of algorithms and computer simulation, and writing of research
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assistant, you are currently enrolled in an educational program (i.e. an active student), preferably with at least 2 years of study left. We encourage students from any field of study to apply, provided
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teaching assistant. The Department of Mathematical Sciences has strong research groups in many areas of mathematics, and has an active postdoc and visitors' programme; we refer to our homepage for more
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, Section for Environmental Chemistry and Physics, jch@plen.ku.dk , phone: +4535332456. The PhD programme Depending on your level of education, you can undertake the PhD programme as either: Option A: A
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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of Copenhagen teacher training programme for assistant professors is required. Teaching qualifications in relation to trial methodology, including Good Clinical Practice and General Data Protection Regulation
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. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in
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Danish and English and are comfortable using computers. You have a valid driver’s license for a passenger car (Category B) is required. You are cooperative, flexible, responsible, takes initiative, can
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, Denmark [map ] Subject Areas: Astrophysics / Theoretical Astrophysics Cosmology/Particle Astrophysics Condensed Matter Physics / Computational Physics , Condensed Matter Theory Planetary Sciences
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the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and