223 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "J" positions at Technical University of Denmark in Denmark
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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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for teaching (1-2 pages) Vision for research (2-3 pages) # CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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@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 information
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Job Description We are looking for a skilled and experienced Full tack Developer with interest in designing and building tools to work with dietary and nutrient data. The Research Group
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stakeholders, we can offer you a position in a progressive and international environment, where we work to support High Performance Computing (HPC) in Danish research. About the job In DeiC’s HPC department, we
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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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for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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components for the 3D-CIRCULAR educational and certification programmes in collaboration with partner institutions. Managing and documenting progress for the second and third programme cohorts. Facilitating
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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