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studies and collaborations with clinicians and researchers from various disciplines. You will do this under the guidance of Dr. Srilalitha Gopalakrishnan (Singapore-ETH Centre) and Asst. Prof. Filip
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100%, Zurich, fixed-term The Chair of Strategic Management and Innovation at ETH Zurich's Department of Management, Technology, and Economics, under the leadership of Prof. Dr. Georg von Krogh
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methods. Job description With the rise in developments of and interest in generative AI and transformer-based architectures, this position will investigate new computational approaches to use LLMs
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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analytics projects Mentor graduate students and supervise research activities Required Qualifications PhD in Computer Science, Data Science, or related fields Strong background in blockchain data collection
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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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part of the SNSF Consolidator Grant project “The Battle of Materials: Commodity 'Research and Propaganda' and the Road to Immoderate Consumption, 1900-1980”, led by incoming Prof. Dr. Moritz von Brescius
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science-based innovation and involves close collaboration with our partners at ETH (Prof. F. Merkt and Prof. M. Quack) and ZHAW (Prof. J. Stohner). Job description, responsibilities and tasks: Develop a
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and