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present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in formal verification with Lean You have
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and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs
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-reviewed journals; Support in funding acquisition; Contribute to laboratory activities, including PhD and Master student supervision and teaching assistance. Profile PhD in architecture, civil engineering
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special issues. Contribute to the supervision and the day-to-day scientific support of the PhD student working on WP1. Required profile Education and experience PhD in geography, urban planning, spatial
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characterization, and community-level activity and function analyses. This position is funded by the Swiss National Science Foundation (SNSF) and EPFL. The postdoctoral researcher will collaborate closely with PhD
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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, enabling interactive communication with biology. Profile PhD in materials science, microengineering, or bioengineering; Experience with polymer characterisation and ultrasonics is required; More than 2 peer
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chance to perform experiments at the cSAXS beamline of the upgraded Swiss Light Source synchrotron, as well as other facilities around the world. Profile We are looking for a person with: PhD in physics