61 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" PhD positions in Switzerland
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biofilms . The position is available immediately or by mutual agreement. The project The research group of Knut Drescher ( https://drescherlab.org ) focuses on understanding the development and emergent
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Professorship in Distributed Data and Knowledge Engineering (open rank) The University of Basel invites applications for a Professorship in Distributed Data and Knowledge Engineering to join the
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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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composites, ceramics, and metals (Composites: https://doi.org/10.1016/j.matt.2026.102809 , https://doi.org/10.1021/acsmaterialslett.5c00407 ;Ceramics/Metals: https://doi.org/10.1002/adma.202504951
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, ranks among the top 20 universities worldwide and offers an exceptional working environment with very competitive salaries. The IMOS Lab (https://www.epfl.ch/labs/imos/ ) offers a highly motivating
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, collect in situ measurement data and interpret results in terms of reaction products as function of electron beam energy and dose. Ex situ characterization tasks comprise thin film morphology and
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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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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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EPFL - Ecole Polytechnique Fédérale de Lausanne | Lausanne, Canton de Vaud | Switzerland | about 6 hours ago
files should be submitted in PDF format and uploaded via the link below by 10 November. https://careers.epfl.ch/job/Lausanne-Bernoulli-Instructorships-in-Discrete-Mathematics/1165570355/ Starting date: The expected starting date is 15 August 2027, to be discussed.
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also lead the design of rigorous impact evaluation approaches – e.g. randomised controlled trials – and the statistical analysis of the resulting data to build robust evidence of what works in