478 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
to secure interdisciplinary research at the highest level As part of the Aarhus University Tenure Track Programme, the University carries out a mid-way evaluation to review the progress of the tenure
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of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD
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if the process overall runs most efficiently with high tar load before the POX or if a low tar load is preferred. Modelling (chemical engineering models, computational fluid dynamics and/or models with detailed
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1st September 2026 or soon
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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School of Social Sciences and Humanities in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic
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Job Description We are looking for two highly skilled and motivated scientists for our program within carbohydrate chemistry, glycobiology, and vaccine design. You will join the team working
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. The position also involves applying computational tools to guide enzyme selection and cascade design, as well as to interpret kinetic and screening data. The candidate will document methods and results in a
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research will explore how to optimize AI architectures to function on edge devices with limited computational power and energy budgets, balancing performance with sustainability. You will develop frameworks