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The lithium-ion battery market is expanding rapidly, driving the need for innovation in key components. Binders, crucial for electrode stability and long-term cycling performance, face challenges in both anode
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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communities of high societal relevance and impact. Welcome to join our research group! We study dynamics of fish communities and aquatic food webs, and their responses to climate change, exploitation and other
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for material structuring – We investigate nanostructured soft materials using graphene and other high aspect ratio fillers to enhance antibacterial, electrical, thermal, mechanical, gas-barrier, and hierarchical
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spoken English skills are required. About us The goal at our institution is to promote good animal husbandry and animal welfare as well as sustainable food production with high product quality. We do
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably
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postdocs from over 14 countries. Their research focuses on sustainable materials solutions and spans recycling technologies (e.g., solvent extraction, high-temperature processes, and supercritical fluids
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written and spoken. Strong communication and organizational skills, as well as a demonstrated ability to produce high-quality results within set deadlines, are essential. Personal motivation and suitability