70 phd-position-in-image-processing Postdoctoral positions at Technical University of Denmark in Denmark
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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PhD degree (or equivalent). Specifically, a PhD in Energy Engineering, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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Job Description DTU Space is looking for a post doc to engage and strengthen their long-term activities in airborne gravimetry. The position involves both state-of-the-art research development and
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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of healthy and sustainable food products with real-world impact? The Risk-Benefit Research Group at DTU Food is seeking a motivated and skilled Postdoctoral Researcher to join our team for a 2-year position
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Job Description If you are motivated to guide innovation by developing new biobased processes able to contribute to a greener and more sustainable future, this is the perfect position for you. We
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of dynamic operation, which is essential for effective system-level integration. The technology should have a high and stable electrochemical performance. Furthermore, mechanical robustness is a challenge
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institutes across Denmark, Greenland, Finland, Poland, and South Africa. The position will be based at DTU Aqua in Kgs. Lyngby, starting in February 2026. WaterColor investigates how climate-driven changes
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved