52 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" PhD positions at Technical University of Denmark
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Job Description Are you passionate about the green energy transition? Do you wish to contribute to the development of solutions to support the increasingly renewable power grid? This fully funded 3
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: https://orbit.dtu.dk/en/persons/helene-friis-ratner . You can read more about DTU Management at www.man.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and
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-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
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Engineering. Food approved microorganisms will be optimized using classical mutagenesis/screening and adaptive evolution. Genetic engineering will be used for guidance and to elucidate the effect of introduced
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Job Description The Department of Energy Conversion and Storage, Technical University of Denmark (DTU), invites applications for a PhD scholarship in the development of all solid-state Li-metal
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technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value
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they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is part of CreCon
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a 3D printing system for melting and extruding lunar regolith, while also advancing the field of composite 3D printing through experimental testing and process development. This position bridges hands
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simulations for rare-event analysis and risk quantification. Contribute to the development of an interactive online risk analysis tool for stakeholders. Collaborate with industry partners and regulatory bodies
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. You will be part of a team pursuing the development of novel integrated data analysis diagnostic tools that address key challenges in the field of energetic particle physics in fusion plasmas, such as