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, or supramolecular host systems. Predictive understanding of these interactions is essential for rational formulation design, but reliable theoretical models for these systems remain underdeveloped. This PhD project
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thereafter. The PhD project will focus on developing and testing AI-assisted computational workflows for predictions of both ground- and excited-state material properties, with applications spanning
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spring 2026. The position is associated to the ERC Synergy project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the impact of expanding low oxygen regions
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methods allow robots to articulate these complex social decisions to the humans nearby, providing verbal or visual justifications for its movements that foster a sense of safety and predictability in
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seizure detection relies heavily on EEG, but we believe we can do better. NeuroEar aims to use multimodal monitoring to significantly enhance seizure detection and prediction accuracy. This PhD project
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robotic structures with intelligent control to study how body deformation and surface interactions enable agile, adaptive movement. The project emphasizes the integration of novel mechanical designs
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. For further information please contact Professor Carsten Uhd Nielsen, e-mail: cun@sdu.dk Website: https://www.sdu.dk/da/forskning/farmaci-sektionen/forskere/researcherswithinsection/carsten-uhd-nielsen
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. PhD position in adaptive responses of defined methanogenic communities (3 years) This position centers on defined syntrophic microbial consortia, mapping how controlled electrochemical environments
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limited knowledge about the benefits and risks of treatment in real-world settings outside the short, controlled framework of clinical trials. In this project, we will combine Danish and Norwegian health
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design new metal–organic frameworks, which translate the exquisite control of molecular synthetic chemistry into robust solid materials. We combine a strong background in synthetic skills with expertise in