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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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the development and monitoring of the technical aspects of XENONnT, the largest liquid xenon time projection chamber built to date. Specific responsibilities will be defined based on the candidate's expertise and
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of an effective system for rapid and robust storage and optimised processing of large quantities of collected data. 2. Development and improvement of algorithms for processing acquired geophysical data in order to
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develop an end-to-end processing system as well as a hazard map visualization (Web and/or GIS); Publishing the various scientific advances in conferences and peer-reviewed journals. Where to apply E-mail
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 22 hours ago
://academicjobsonline.org/ajo/IHES . Contact: Ingrid Peeters, + 33 1 60 92 66 64 Email: Postal Mail: IHES 35, route de Chartres F-91940 Bures-sur-Yvette Web Page: https://www.ihes.fr/en/
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 22 hours ago
://academicjobsonline.org/ajo/IHES . Contact: Ingrid Peetres Email: Postal Mail: IHES 35, route de Chartres F-91940 Web Page: https://www.ihes.fr/en/applications/#post-docs
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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use
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post-doctoral researcher to work on adapting the hardware footprint, and in particular the memory, of traditional virtualized servers such as web servers, databases, or streaming servers, for example
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at the interface of materials chemistry, nanotechnology, and oncology. The project, NANOZEOXY, focuses on the design and development of nanosized zeolites as advanced carriers of oxygen and contrast agents
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex