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understanding of the physical processes of the wave structure interaction. The postdoc position aims at developing a state-of-the-art methodology for accurate testing of such structures in our physical wave basin
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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change in archaeology and its impact on the lived life of past communities and individuals by tracking down milestones in the development of the burial site of Lindholm Høje, Denmark, throughout the first
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grant acquisition and impact activities, and contributing to team building and the development of the centre. Candidates are expected to: Be capable of working independently and in a team, for example
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research and technology stakeholders. The vision of SonicEye is to develop multimodal navigation by enabling AI-powered echolocation and safe decision-making for autonomous robots in uncertain environments
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diseases. In this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate
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and reduction reactions. The research will focus on: Developing synthetic routes to robust new chelating and bifunctional ligands. Employing advanced spectroscopic, electrochemical and X-ray diffraction
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droplet phenomena relevant to energy conversion, storage, and CO2 sequestration. You’ll have the freedom to shape your research within our interdisciplinary and international environment. Your Role Develop
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Foundation, Lundbeck Fonden, and the Danish National Research Foundation, who aim to advance materials development for Power-to-X. The successful candidate will be part of the CAPeX Academy together with 100
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with the selected candidates in accordance with ongoing research programmes within the individual groups. Broadly projects are focused on understanding the various aspects of the process of gene