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and stimulating working conditions in dynamic and international research environments with the possibility of being part of two different research institutions. The museum in Copenhagen has excellent
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working conditions in a dynamic and highly international research environment. Our team at University of Copenhagen currently consists of around 20 team members representing 13 different nationalities. Our
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active
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. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international
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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active
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University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
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qualifications at PhD level. ' Who we are AAU Energy is a dynamic and internationally oriented research department at Aalborg University, dedicated to developing clean and sustainable energy systems. Our research
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
, biodiversity-related ecosystem functions and services, and food-web dynamics. You will work collaboratively to test and apply advanced monitoring tools, including cutting-edge eDNA equipment, underwater
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modelling of cell–cell interactions, cell-state transitions, and tissue dynamics and multi-omics integration Applying ML approaches for biomarker discovery, predictive modelling, and development of diagnostic