42 algorithm-development-"Multiple"-"Prof"-"Prof" Postdoctoral positions in Switzerland
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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before 1800. Candidates are conversant with current historiographical developments and have developed strong methodological skills in dealing with different source corpora of African history. We expect
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administrative tasks related to these clinical studies Perform data analysis and interpret research findings Present results at national and international scientific conferences Prepare and submit manuscripts
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to solve fundamental questions surrounding evolution and interaction between bacteria and bacteriophages. The Biozentrum provides a highly stimulating collaborative research environment with a
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. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne traffic is an underestimated problem. In our research group, we develop new technical solutions to mitigate
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multidisciplinary team of physicists and chemists working at the forefront of quantum materials and surface science. Utilizing a combination of experimental and computational approaches, we develop and characterize
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the interaction and co-evolution between bacteria and a family of large bacterial viruses, called jumbophages. We are particularly interested in how bacteria use immune systems to antagonize jumbophage infection
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the National Centre of Competence in Research (NCCR) AntiResist. We develop and use state-of-the-art organoid technology to better understand human infections and foster antibiotic discovery. We conduct a wide
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. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement