75 bv-function Postdoctoral research jobs at Technical University of Denmark in Denmark
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of digital chemical production? Then join DTU Chemical Engineering’s digitalization initiative and be part of building the next generation of smart, semantically linked research infrastructure. The job Over
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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, here is your chance to join our work on power-to-X (PtX) and energy storage. We invite applications for two postdoc positions in the field of PtX, electrolysis, electro-thermal energy storage such as
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reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy project
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researchers to join our research activities focused on SOEC cell and stack components. Electrolysis and green hydrogen play a central role in Power-to-X schemes to produce green fuels and facilitate
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genomic data from extinct and extant species, and machine learning, you will help develop a foundational tool for predicting extinction risk and advancing the use of genomics in conservation science. Job
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reaction pathways, particularly scaling relationships and their implications for catalyst design. Spectroscopy and Instrumentation: Hands-on experience in the design, construction, and operation of in-situ
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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idea within the value chain of functional coatings from raw materials to end-product. Coating formulation and production principles Optimising the production line by i.e. turning towards in-line
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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