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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. You will be assessed against
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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solid academic foundation in quantitative analysis, system modelling, data science or related methods. Experience with programming and data analysis, preferably using Python or a similar programming
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journals strong programming skills the ability to work independently as well as in an international, interdisciplinary team with industrial partners excellent written and spoken English Who we are
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acquisition, equipment construction, machine learning, and image analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your
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, Earth system science, geography, biology or similar, and have experience with: Geospatial and statistical analyses of remote sensing and ecological data, Good programming skills, ideally using R
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underwater, marine or field robotics is an advantage a track record of publications in relevant international conferences and journals strong programming skills the ability to work independently as well as in
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interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python with the ability to
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disordered solids. Research experience linking local structure and defects to both lattice thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based
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: Geospatial and statistical analyses of remote sensing and ecological data, Good programming skills, ideally using R, Python, or similar, Land cover and land use change, Multispectral remote sensing, and