542 information-security-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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Center (iNANO), Aarhus University invites you to apply for a Post Doctoral position. This is a fixed term 2-year position from 1st March 2026 or as soon as possible thereafter. Job description You will be
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research project AI in the News Ecosystem: Navigating Trust and Authenticity (AINATA). The AINATA project explores how artificial intelligence (AI) impacts trust and authenticity in the news ecosystem. It
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Job Description Declaration of interest regarding PhD project: Department of Molecular Medicine at SDU is looking for applicants for a PhD scholarship within the field of biomarker and therapeutic
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unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position. Further
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Job Description Student Assistant Position at Nordcee, Department of Biology Nordcee is seeking a dedicated student assistant for a fixed-term position from 1 March 2026 to 30 June 2026
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across career stages Starting date: April 1st 2026, or soon after Applicants seeking further information can contact: Professor Amelia-Elena Rotaru arotaruATbiology.sdu.dk . Who are we? The successful
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of Denmark, is seeking candidate for a PhD position (3 years) to work on investigating transient build-up condensed water layer on electronics surfaces such as Printed Circuit Board Assembly and DBC Substrates
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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the relationship between the evolution of life and the evolution of the Earth surface environment. This group is part of the bigger Nordcee group of the Biology Department of the University of Southern Denmark
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will