406 computer-science-programming-languages-"the"-"UCL"-"U"-"University-of-Bradford" positions in Denmark
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mathematics or related field Strong programming skills in python, C, C++ or other similar programming languages Strong communication skills in English, both oral and written The ability to work both
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. Structured work attitude and ability to plan and carry out sophisticated research activities in collaboration with your supervisors. Excellent communication skills in English, both written and spoken. You must
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Fonden we have several postdoc and PhD openings in the Center for Basic Research in Program Verification (CPV) at Department of Computer Science, Aarhus University. The research topics at the Center
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, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques, with a willingness to learn the complementary skill
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37 Offer Starting Date 1 Jan 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
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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Rossmeisl, Department of Chemistry, Jan.Rossmeisl@chem.ku.dk , Direct Phone: +45 5071 9584 The PhD programme Qualifications needed for the regular programme (5+3) To be eligible for the regular PhD programme
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researchers to attract funding for their best ideas from the EU Framework Programme for Research and Innovation – ideas that can make a decisive impact on society and contribute to better health for all
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart
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degree in Computer Science/Software Engineering or related areas. Research expertise with background in at least two of the following areas: Cybersecurity, Block-chain, Cryptography (e.g., Multi-Party