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or renewable energy systems is an advantage. Knowledge about media analysis is a plus, as is experience with industry. Strong written and verbal communication skills in English are essential; additional
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environment where English is the preferred language at meetings and seminars. You will work in the brand new NytSUND building being established in connection to the hospital and university campus with modern
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the Department. 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. As a formal qualification you must
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of
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the supervision of bachelor, master, and PhD students. You will plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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sustainable and resilient agricultural systems. The research team you will join is coordinating an international program that brings together leading scientists from around the world to investigate beneficial
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sustainable and resilient agricultural systems. The research team you will join is coordinating an international program that brings together leading scientists from around the world to investigate beneficial
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, or a closely related field. Strong programming and system integration skills in languages and platforms relevant to embedded systems (e.g., C/C++, Python, real-time operating systems). Research