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Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
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. Many of our research and development activities are based on companies' specific innovation needs or specialist application areas. Close collaboration with the public sector and private businesses
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18 Jun 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Distributed, Embedded and
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Pepa Atanasova and Ingo Zettler and will work at the interface of machine learning and behavioural psychology. Duties include contributing to co-designing and running controlled human-AI interaction
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candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low-carbon energy
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relationships between powder composition, microstructure and instant functionality, ultimately providing new strategies for designing dairy powders with faster, more reliable and more robust reconstitution
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Securing externally funded research projects, including EU research and innovation programmes and other national and international funding sources Bridging science and advice to agencies in Greenland and
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. The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
contributing to the successful execution of excellent research and innovation. We are striving to build a vibrant team that reflects our commitment to excellence, diversity, and interdisciplinary collaboration
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differences between China and Denmark. The PhD candidate designs and carries out an original research project that asks how institutional environments shape firm-level AI adoption, organisational capability