41 experiment-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Switzerland
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to 3 pages). Contact details for 3 referees. For any further information, please contact: Nate Foster ([email protected]) - <b>https</b>://laser.epfl.ch/ Contract Start Date : 01.12.2026, or to be determined Activity Rate : 100.00 Contract Type: CDD Duration: 1 year, renewable Reference:...
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, applications via E-mail cannot be accepted. David Heusser , HR Partner Questions? Dr. Alessandro Senocrate Materials for Energy Conversion +41 58 765 4148 https://www.empa.ch/web/s501 Your future
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interests, and a teaching statement) should be addressed to Prof. Dr. Heiko Schuldt, Dean, Faculty of Science, and submitted as a single PDF online: https://biped.philnat.unibas.ch/application/form/24/1
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. Cristina Marinoni , Bereichspersonalleiterin / HR Partner Questions? Dr. Sebastian Siol Group Leader Laboratory of Surface Science & Coating Technologies https://www.empa.ch/web/s208 Your future place
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and by post will not be considered. David Heusser , HR Partner Questions? Dr. David Reber Materials for Energy Conversion +41 58 765 4536 https://www.empa.ch/web/s501 Your future place of work
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High Performance Ceramics https://www.empa.ch/web/s201 Your future place of work Empa Ueberlandstrasse 129 8600 Dübendorf Empa as an employer Innovative, sustainable, meaningful activities Creating
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/ Position 2 / Both]". Applications will be processed as they arrive until the positions are filled. Additional information about our research can be found at https://cnai.epfl.ch . EPFL is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace.
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experience (or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment
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Components +41 58 765 4066 https://www.empa.ch/web/s312/advanced-colloidal-materials-engineering Your future place of work Empa Ueberlandstrasse 129 8600 Dübendorf Empa as an employer Innovative
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Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer You will be employed by EPFL, one of the world’s leading