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, and deploy large scale generative models for materials discovery. Work and advance the state-of-the-art in diffusion model architectures for materials. Publish scientific papers and present research
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strategies for conventional HVAC systems that condition entire indoor spaces using existing thermal comfort models, which could improve the performance of existing buildings and HVAC systems. The work will
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fabrication labs A vibrant, collaborative, and inclusive research environment Opportunities to mentor students and collaborate with academic and industrial partners A chance to contribute to impactful research
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Job Description If you are an experimental physicist or optical engineer with a passion for nonlinear optics, quantum optics, and advanced fiber technologies, this is your chance to work at the
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team working at the interface between chemical engineering, data science, and semantic web technologies. The work will be tightly integrated with other digitalization activities at DTU KT
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) and geochemical speciation calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
, this might be a position for you. If you moreover like to work with applied research in close contact with the power-to-X industry, you have come to the right place. Responsibilities and qualifications You
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, aiming to advance sustainable food innovation. The project will mainly take place at DTU National Food Institute in Lyngby, but some work may be done in collaboration with project partners in other
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is essential. We are looking for a team player who can also work independently, who is motivated to help and be part of a dynamic research environment; and, who has a positive, supportive and creative
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Job Description Are you driven by the potential of AI in enzyme engineering? Do you want to design novel enzymes from scratch using cutting-edge generative models and validate their function in