31 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Copenhagen in Denmark
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include data science management and development of novel and executing existing computational methods including machine learning and deep learning methods to integrate genomics, transcriptomics and
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incl. preparation) High Performance Parallel Computing (92 hours incl. preparation) Experimental X-ray Physics (100 hours incl. preparation) Optics (70 hours incl. preparation) Blok 4: Termodynamik(Termo
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withdrawal. As part of CIF’s statistics program, the candidate will focus on applying statistical methods to investigate these research questions. Your Competencies and Opportunities Applicants must have
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Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226660 Is the Job related to staff position within a Research
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to employ both qualitative and quantitative research methods to explore the societal and social aspects of oral health. This includes conducting clinical intervention studies, registry-based research, and
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Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226229 Is the Job related to staff position within a
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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or as soon as possible thereafter. The successful candidate will be working on statistical methods, scientific programming and analysis projects together with external collaborators and together
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shooting, implementation and development of methods and standard operating procedures, as well as coordination of metabolomics analyses in close collaboration with colleagues. The metabolomics manager is