195 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Technical University of Denmark in Denmark
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained
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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 . We offer DTU is a
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our Industrial Master’s program in Kalundborg. We value innovative teaching methods, including the use of digital technologies. Research: Your research will be anchored in the Hempel Foundation Coatings
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at kelhe@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful
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. Further information Further information may be obtained from: Professor Uffe Mortensen, E-Mail: um@bio.dtu.dk You can read more about Department of Biotechnology and Biomedicine at https
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our enrolment requirements and the 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
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research assistant in our ferroelectric thin-film program, you will gain hands-on experience with advanced deposition, laser processing, and nanoscale characterization while contributing to groundbreaking Fe
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candidate will be enrolled in one 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
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation