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simulations of charge transport using different levels of theory and collaborating with experimental groups to validate the developed models Writing scientific publications and giving presentations
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main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural
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foundation. Candidates are also expected to have strong coding and implementation skills, with the ability to run large-scale experiments. While research experience is advantageous for PhD applicants, it is
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of this postdoctoral researcher will be to explore some of these interactions in the Community Earth System Model (CESM). Job description The postdoctoral researcher will expand their skills in atmospheric chemistry and
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, security studies, and governance studies, as well as in relation to transnational and global issues. A strong grounding in social theory and methodology will be considered an asset. Applicants must hold a
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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Postdoctoral position is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. The project aims to develop a
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at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for PhD and postdoctoral positions in pioneering projects developing synthetic
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100%, Zurich, fixed-term We are seeking a highly motivated Postdoctoral Researcher in the field of microbubble physics, with a strong focus on imaging and acoustic characterization. Project
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understanding of protein systems. As a PhD student, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract