277 computer-programmer-"https:"-"FEMTO-ST"-"UCL"-"FEUP" "https:" "https:" "https:" "https:" positions in Denmark
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program across Aalborg and Copenhagen campi. This includes delivering courses in teaching programming e.g. C# and Python, real-time graphics rendering, use of generative AI as well as AI application
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Track program. Read more about the program and the recruitment process here . The position is a full-time position, starting from July 1, 2026 (or according to mutual agreement). You can read more about
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and
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programme on 1 September 2026. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information
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programme on 1 September 2026 Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Science (https://www.sdu.dk/en/om-sdu/institutter-centre/imada_matematik_og_datalogi ), depending on their academic background. The position is open to candidates from computer science, data science
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theoretical models. As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your research through publications
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levels. Responsibilities and qualifications You are expected to be part of defining the teaching within the core areas of DTU Compute, including courses on probabilistic machine learning and its
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Master’s program in Kalundborg. We value innovative teaching methods, including the use of digital technologies. Research: Your research will be anchored in AT-CERE which is part of DTU Chemical Engineering