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dependence on host physiology. The position is part of the project “Universal Growth Laws of Viruses of Bacteria”, led by Associate Professor Namiko Mitarai and funded by the Novo Nordisk Foundation NERD
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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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, organization/operational structures and social conditions. Within FEDORA, this post-doc position is focused on the development of a flexible travel behavior in complex multimodal urban environments, including
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Postdoc position to support international research and capacity-building projects employing elect...
One 2-year postdoc position is available from February 1st, 2026 or shortly hereafter, at Aarhus University, Department of Geoscience’s HydroGeophysics Group (HGG), within the field of airborne and
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. The starting date is 1st March 2026, or subject to mutual agreement. The research project This postdoc position is part of a Novo Nordisk funded project that aims to uncover how the regulation of photosynthesis
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models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
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of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in inHealth-Aware Optimization of Lithium-Ion Battery Charging is available from 1stof March 2026 (or as soon as possible
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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that pose serious ecological and health risks. Their low concentration and complex behavior make experimental analyses challenging. Developing reliable predictive models is essential to reduce the reliance