63 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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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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manage the DTU Skylab satellite hub at Rigshospitalet, based on Skylab’s innovation-driven and entrepreneurial approach Plan and execute events, workshops, and matchmaking activities that bring together
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Multiphysics. Experience with magnetism, e.g. from a BSc course in electromagnetism. Experience with writing and publishing scientific articles. Ability to work independently, to plan and carry out complicated
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
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applying new skills.[HS1] [PN2] It would further be beneficial if you have some of the following skills: Prior experience with mass spectrometry, proteomics, or microfluidics. Experience with programming
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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 for the excellence
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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal
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“hybrid engineers”—professionals who combine a strong foundation in engineering and physical modeling with advanced digital competencies. Our programs integrate both digital delivery and digital content
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype