21 computer-science-programming-languages-"Prof.-Dr"-"Prof.-Dr" PhD positions at Nature Careers in Denmark
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2026 or as soon as possible thereafter. We expect Degree. A two-year master’s degree (120 ECTS) in Robotics, Electrical Engineering, Software Engineering, Computer Science, or an equivalent field (or a
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proposed starting time is Autumn 2025, with room for flexibility. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science . The Department
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under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of
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Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. population genetics, computational biology, bioinformatics, biology, computer science
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agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
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engaged in research programs and advisory work covering the major biological sub-disciplines. We conduct innovative, advanced research in the areas of aquatic biology and ecology, Arctic environments and
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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Project Description We invite applications for a fully funded PhD position in experimental proteomics. The successful candidate will contribute to a fundamental research program exploring chemical
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innovative technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof