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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology Mission
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology 1 Mission
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis Mission
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research group A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services
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-Lab in Neuchâtel, within an international and multidisciplinary research environment with strong links to the photovoltaic industry. Main duties and responsibilities You will develop and optimize PV
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analyses. This position is part of a broader two-position recruitment linked to the same SNSF-funded project. The present call is for the position focused on human experimental implementation, participant
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considerations and knowledge of the relevant literature. Conduct experiments and analyze data. Report and disseminate the research outcome in journal publications and at international conferences. Interact and
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follow the instructions provided in the application portal linked below. Please prepare the following application materials: Motivation letter. Detailed curriculum vitae (CV). Contact information. Names
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design, data collection and analysis, and dissemination; Research in collaboration with academic partners and international collaborators; Lead and contribute to scientific articles for publication in peer
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, motivation letter, and contact details for 2 references. In the motivation letter, briefly describe one question you would like to work on, linking numerical analysis with formal verification or algorithm