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-selectivity. Calculations and simulations will guide fabrication of experimental prototypes, to be tested in beamtime experiments at world-leading neutron science facilities (e.g. ILL, FRM II). Experimental
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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interaction with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide
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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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physical and social context, prior interactions, rank differences, and kin relationships. Our goal is to study the importance of different information sources in great ape communicative interactions
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43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Are you excited about sustainable
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@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply . Assessment of the candidates
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25th August 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Thermo-Chemical Plastic Recycling Apply for this job See
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with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More