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for the successful applicant. The daily working language is English. Our research teams work in several fields, and we therefore expect you to have a background and qualifications in some of the following areas
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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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the Computer Science study program. The stipend is open for appointment from August 1st 2025 or soon thereafter. The PhD students will be working on topics within the general areas of formal methods, model checking and
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includes researchers and developers at universities and industries on both sides of the Danish-German border. The position starts on September 1, 2025, or as soon as possible thereafter, depending
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electronics, which includes researchers and developers at universities and industries on both sides of the Danish-German border. The position starts on September 1, 2025, or as soon as possible thereafter
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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soon as possible thereafter. The workplace is the SDU Campus Odense in Denmark, with some travel required within Denmark. Mastering the Danish language at a proficiency level is a requirement
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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an English language-based Master's programme(or an equivalent educational achievement in English) shall provide documentation that they have passed one of the following official tests with the respective minimum score
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DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic