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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. More information about us can be found on our website: http
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food
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are looking for We seek candidates with the following qualifications: Applicants should have a PhD in astrophysics by the start of the appointment, demonstrated experience with MHD simulations in relation
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-related activities at the department (20%), including supervision of MSc and PhD students Possibilities for international collaboration and research exchanges Access to pedagogical training and development
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Keen on exploring the force of light and develop tomorrows technologiges for contact-free particle manipulation for biotechnology and beyond? Information about the project This postdoc position
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photonics integration. If you're passionate about advancing optical technology, do not hesitate to apply! Information about the division and the department An optical frequency comb is a laser source with
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the polymer matrix while preserving the quality of the fibres. Information about the division and the department The position is based in the Division of Materials and Manufacture at the Department