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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Software Engineer: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project
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. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also encouraged to apply. Profile Strong candidates will have
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of the EPFL Laboratory for Bio- and Nano-Instrumentation is centered on developing advanced nanoscale measurement technologies for applications in nanoscience, materials science and life science. We seek
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group, we develop novel micro- and nanostructured smart materials for active and passive solar energy applications being integrated into the building envelope. We focus on thin films, because these allow
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conducts applied and theoretical research on the economics and politics of sustainable development, as well as the policies to achieve it. More information at: https://www.epfl.ch/labs/pasu/ . We are looking
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and data acquisition to image processing and structure determination. You will also contribute to the continuous development and improvement of the DCI cryo-EM platform, helping to ensure a high level
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-world buildings, data analysis, and modeling. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also
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decades, LBMM has developed powerful technology platforms in the field of biomedicine and genomics, also resulting in the establishment of two startup companies (www.veraxa.de and www.thera-me.ch ) and a
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Abstractions Lab (LASeR) develops programming languages and formal reasoning tools for networked systems. Networks are the invisible infrastructure that connects the modern world, yet programming and reasoning
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together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces