283 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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and around 800 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. At the Department of Biological and Chemical Engineering, focus is on living systems
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program, financed by the Villum Foundation, focused on the sustainable reuse of decommissioned wind turbine blades - made from fiber-reinforced polymers composites (FRP) – repurposed for civil construction
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publications Strong programming skills in Python and deep learning frameworks such as PyTorch, demonstrated by coursework, projects, or contributions to public code repositories Experience with or strong
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tasks will be: Plan and manage your PhD project in collaboration with supervisors Design and develop management and real-time operation tools for ePIPV Test controlling functionality in a state-of-the art
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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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of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
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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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secondary programs (e.g., STX, HTX) will be considered an advantage. Your competencies We are looking for candidates with solid skills in experimental research and system modeling (e.g., MATLAB, Aspen