98 evolution-"https:"-"https:"-"https:"-"Univ"-"Institut-Agro-Rennes-Angers" PhD positions in Denmark
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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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bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development
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(CAM) . CLINDA aims to conduct independent research in the development, application, and implementation of data infrastructures for AI-based decision support tools and is rapidly growing with currently
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prediction outputs. The first PhD will work on data fusion, feature extraction, and model development ranging from baseline approaches (e.g., gradient boosting) to deep learning architectures. The work also
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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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evolution in Denmark, and potential challenges and opportunities. You will contribute to these analyses but also have freedom to pursue original ideas, which can then shape the thematic chapters
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the mechanisms underlying inflammatory diseases and their role in tissue damage and disease development. The research is characterized by close integration of basic and translational approaches, as well as well
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with national and international academic and industrial partners in microelectronics, photonics, and quantum technologies. Strong support for professional development through the Lecturer Training
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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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