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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material
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Biochar Production, Syngas Generation, Green Hydrogen Separation, Net-Zero Heat Distribution Systems, Advanced Electrochemistry, and Integrated Spectroscopy. The role integrates materials design
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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The laboratory of Dr. Kian-Huat Lim, Director of Gastrointestinal Oncology, at Washington University School of Medicine/Siteman Cancer Center, in St. Louis, MO, USA, is currently seeking driven and
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A post-doctoral position in human population genetics is opening in our lab (INSERM GGB UMR1078) in Brest, France to work on the Genome of Europe (GoE) project: https://genomeofeurope.eu/ . GoE will
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
to the projects management Who we are The Department of Environmental Science is an interdisciplinary department under the Faculty of Technical Sciences at Aarhus University. The expertise of the Department ranges
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. the genetic `capabilities’) is distributed and maintained across community members, and how these distributions of functions shape ecosystem-level properties. Answering these questions in a host-associated
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institutions, and contribute to advancing knowledge in their respective fields. Program Highlights 1. Duration: Our joint postdoctoral program has a duration of four years, with an equal distribution
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the natural sciences. The position offers access to top-tier academic and industry research ecosystems and is ideally suited for researchers seeking to push the boundaries of geometric and graph-based learning