39 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at EPFL
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology Mission
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology 1 Mission
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Mission Contribution The Materials in Transition (MATR) Lab at the School of ENAC, EPFL, is seeking a self-driven and inquisitive post-doctoral researcher to start between August and October 2026, in
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in experimental biophysics Mission Our group is a curiosity-driven experimental
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validation, while establishing protocols for sensor calibration, spatial sampling, quality control and integration with Earth Observation data. Develop spatial, statistical and predictive models to investigate
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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measurements; Modeling of indoor pollutant emissions, transport, transformation, and exposure, ranging from mechanistic or mass-balance approaches to more advanced computational models; and Related topics in
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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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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