126 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" research jobs in Denmark
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involvement in teaching in animal science and in the veterinary science programme. Research-based consultancy to authorities, where it is relevant. Who we are Department of Animal and Veterinary Sciences is
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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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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 from
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. If English proficiency is not documented in the application, it must be documented before starting in the position. Who we are The Department of Ecoscience is engaged in research programs and advisory work
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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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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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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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