215 computer "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "UNIV" PhD positions in Denmark
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, to further advance the practical, everyday use of the technology. Qualifications Applicants should hold a MSc in electronics, computer engineering, biomedical engineering, Physics, or a closely related field
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of Marts 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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a M.Sc. in chemistry (for 5+3 programme). Candidates close to defending their M.Sc. thesis are also welcome to apply (M. Sc. defence must be completed prior to start date for the 5+3 program). We
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information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will be employed in accordance with the agreement on salaried PhD scholars
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letters. Closing date 15 March 2025 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be
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candidates holding a master’s degree in relevant fields, such as journalism studies, communication, political science, computer science, media studies, or sociology. The PhD student will be involved in all
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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and transport systems, within the ELLIS network. The project is fully funded through the Novo Nordisk Foundation Data Science Distinguished Investigator programme. You will be based in the Intelligent