64 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions in Switzerland
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website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/ ). Opportunity to perform state-of-the-art research in one of the most dynamic
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year, with the possibility of renewal for up to 4 years. We offer Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services
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Ideas, SBB, and gfs.bern, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data-collection costs while maintaining validity for marketing and opinion
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postdoctoral researchers will join the group of Dr. Chiara Caprini and will focus their research respectively on: The generation, evolution, and properties of primordial magnetic fields at the electroweak energy
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The Atmospheric Science Group of Prof. Dr. Markus Kalberer at the Department of Environmental Sciences, University of Basel, Switzerland, invites applications for a postdoctoral position to develop
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hydrogen detection: development of a field-deployable electrochemical method, benchmarked against lab-based approaches. Area 3 (Contact Person Dr Andreas Borgschulte ) Hydrogen permeation in model systems
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excellent opportunities to establish connections in the local industry. The work will be carried out at Empa St. Gallen under supervision by Dr. Gordon Herwig and Prof. René Rossi. The position is temporary
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considered. Further information about Department of Mathematics can be found on our website. Questions regarding the position should be directed to Prof. Dr. Mikaela Iacobelli, email [mikaela.iacobelli
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data