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LTS2 Lab https://lts2.epfl.ch offers a highly motivating, interdisciplinary scientific environment with many opportunities to interact between different projects and researchers, and has an
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using time-resolved photoluminescence (TRPL), terahertz spectroscopy and transient absorption. Develop and apply data-analysis approaches for correlating results obtained from complementary
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. Main duties and responsibilities The Kim Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL) ( https://www.epfl.ch/labs/upkim/ ) is seeking a highly motivated postdoctoral researcher to
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matches the formal requirements to enroll in a PhD program at the University of St.Gallen: https://www.unisg.ch/en/studying/admission/admission-phd/ Applicationss will start to be assessed on a rolling basis from 15.10.2026.
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are most important for the use of solar energy. https://www.epfl.ch/labs/sci-enac-as/ Main duties and responsibilities As a PhD Student, you will be expected to: Assume full responsibility for your
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
), Life-Cycle Assessment (LCA), embodied and operational carbon, circularity and material-reuse indicators, building monitoring, sensor data, Post-Occupancy Evaluation (PoE), and feedback from building
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Observation, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation
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and ice nucleating particles Data analysis of observations, numerical model output and remote sensing data Tight collaboration with the project partners and participation in working meetings Teaching
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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assays for detecting and characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and