100 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at CNRS
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21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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conduction properties of materials at the nanoscale. The ANTICHI project aims to develop and demonstrate a unique vacuum Scanning Thermal Microscopy (SThM) instrument capable of making contact thermal
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requires, in accordance with the regulations, that the arrival of the agent be authorized by the competent authority of MESR. This project aims to develop submicron light-emitting sources based on thin film
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23 Aug 2025 Job Information Organisation/Company CNRS Department Institut de Pharmacologie Moléculaire et Cellulaire Research Field Pharmacological sciences Engineering Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 12 Sep 2025 - 23:59 (UTC) Type of...
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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strong background in scientific computing to contribute to various algorithmic patterns in an agile development environment. Within an Agile team set up: - You will contribute according to your expertise
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of the single-cell data to ensure compatibility with current approaches and adapting existing algorithms. To do this, the recruited person will need to draw on recent developments in community
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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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of Reactivity and Solid Chemistry (LRCS) as part of the FTJ Basecamp 10kWh Project. The thesis aims to develop a comprehensive and robust solution for battery diagnostics and assessment, drawing on several
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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms