322 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions in Denmark
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2025. Research environment The PhD position is funded by a European Research Council Advanced grant entitled “PFAS Forever-Everywhere” (more information here: https://academic.oup.com/eurheartj/article
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. Further information for international applicants about entering and working in Denmark. For further information about the PhD program at the department, read here: https://sdunet.dk/en/enheder/institutter
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information may be obtained from Professor and Head of Section Wenjing (Angela) Zhang (wenz@dtu.dk ), tel.: +45 2035 2356. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from
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: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring
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Tenure track assistant professor in Food chain modelling and analysis with emphasis on animal nut...
for the research-based public sector consultancy and degree programs covering bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative
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Programming skills (particularly in C++ or Python) Simulation Experience with automation hardware and software. Strong mathematics skills and practical knowledge in 3D modelling. Preferably, the candidates have
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full-time position. The assistant professor position is part of DTU’s Tenure Track programme. Read more about the programme and the recruitment process here . You can read more about career paths at DTU
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at this level and the interest in pursuing publication in these or equivalent journals. Applicants must document pedagogical skills, curricula development experience and educational program management. Emphasis
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning