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MSc degree in data science. Candidate Profile We are looking for highly motivated candidates interested in Software Engineering topics, and in the application of Generative AI in Software Engineering or
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to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions are funded by the ERC Advanced Grant LUMIN. This cutting
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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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-focused nanofabrication, advanced materials science, and quantum electronics. With access to DTU Nanolab's state-of-the-art cleanroom facilities, you will establish yourself at the forefront of quantum
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stefan Kragh Nielsen, skni@fysik.dtu.dk . You can read more about the section
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). Further information for international applicants about entering and working in Denmark. Further information about The Faculty of Natural Sciences. Application deadline: 1 August 2025 at 23:59 hours local
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collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Living in Denmark Please visit the international staff
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PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti