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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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Literacy”). We are looking for talented and dynamic individuals with the ambition of establishing themselves as leading scholars in their field of research. We are particularly interested in scholars working
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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
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are in the top 20 alongside MIT, ETH, and Stanford. AAU Materials and Production is a dynamic engineering research department with a broad focus from sustainable production to astrophysics. The Department
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used in shaping evidence-based policy and management of nature. Life in Aarhus, Denmark’s second-largest city: Aarhus offers a vibrant research hub, a dynamic cultural scene, and easy access to nature
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, underground or open pit Strong background in robotic manipulation and/or mobile manipulation Proven experience with physical interaction, contact dynamics, or force-controlled robotics Experience integrating
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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