203 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in Denmark
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in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order) . Employment will be in accordance with the collective agreement between
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of the general 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
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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 accordance with Faculty regulations and the
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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 Submitted applications will be
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or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme. The application may
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at a competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics
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Doctoral School of IT and Design 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 Educational
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duration of 3 years. Applications for a 4+4 PhD programme are also welcome. The proposed starting time is spring 2026, with some room for flexibility. The appointment will be made at a competitive salary and
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine