420 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Denmark
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paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa . You can read more about ESE at www.compute.dtu.dk
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. The period of employment is 2 years. The preferred starting date is 1 April 2026 but is subject to negotiation. You can read more about career paths at DTU here . Further information Further information
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data (e.g., from Danish health registers) using advanced statistical methods (e.g., regression modelling, time series modelling, latent class modelling). It is expected to contribute to scientific
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relocation and career counselling to expat partners. Please find more information about the International Staff Office and the range of services here . Aarhus University also has a Junior Researcher
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comparative advantages. Please also consult the department’s Scholarly Qualification Matrix for further information about the criteria for the position. The Danish Institute for Advanced Study (DIAS) DIAS
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
researchers in the center to investigate the primary data generated from the experimental interrogation of adipocyte signaling states in isolated murine and human adipocytes using an array of functional
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degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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uncertainty and complexity. The PhD student will have the opportunity to leverage data and expertise from the megawatt-scale HPP research facility at Risø Campus, significantly enhancing the practical relevance