361 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Switzerland
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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stable water isotope data, and Statistical analyses, including machine learning approaches. The full-time position is funded for four years. Salary and social benefits are provided according to ETH Zurich
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
promote equality and foster an open, inclusive work environment. Flüelastrasse 11, CH-7260 Davos Dorf Website Company-Video Where to apply Website https://academicpositions.com/ad/swiss-federal-institute
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of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website
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transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs
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, including benchmarking and validation Publication of results in journals and conferences Where to apply Website https://apply.refline.ch/673278/3832/1m.u7qjgjKjzKmrHRvMb9SUuweUMUm96yz1qOEhI4Z… Requirements
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may be contacted directly by the committee). Letters of recommendation are not required at this stage. Applications must be submitted exclusively online at https://jobs.unige.ch by 1st March 2026
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degree. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 22 February 2026. Where to apply Website https
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culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes