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30 Jul 2026 Job Information Organisation/Company CNRS Department Institut Pierre-Simon Laplace Research Field Environmental science Environmental science » Earth science Environmental science » Global change Researcher Profile Recognised Researcher (R2) Application Deadline 19 Aug 2026 - 23:59...
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modelling and decision-support workflows, this thesis will deliver harmonized EO datasets supporting early warning systems, scenario development, and adaptive water management Earth Observation Earth. The
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, biochemistry, and clinical applications. Implement and maintain specialized microfluidic devices. Research & Development • Conduct research to design novel microfluidic and biotechnological developments
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understanding the molecular mechanisms of life and the dysfunctions leading to disease development. The postdoctoral researcher will be recruited at the Centre de Biophysique Moléculaire (CBM, CNRS, Orléans) as
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attention to linking the estimates to interpretations in terms of coexistence and rapid evolution. This approach will be compared with existing estimates of the relative selective value of snail species and
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of Paris, France) and conduct research in ecology and evolution, including 125 scientists and technicians, a greenhouse and molecular biology labs. The post-doctoral scientist will work in Tatiana
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researcher will have as main mission to lead the research on the characterization and quantification of the spatio-temporal variability of bedload transport in rivers of the Seine basin, as part of a research
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has established several direct partnerships with major players in the micro- and nanoelectronics industry, including STMicroelectronics in Crolles, France, and Applied Materials in Santa Clara, USA. The
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supervised by the CNRS and Paris Nanterre University. It is affiliated with the Institute for Humanities and Social Sciences (INSHS) and falls under the Economics and Management section of the CNRS National
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by information and communication technology which could lead 20% of global energy production to be consumed by the adoption of artificial intelligence. Therefore, “unconventional” computing