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processes that enable cells to move through a biological matrix in the absence of adhesion, by exploiting the topography of their environment. The consortium brings together two teams of physicists
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for the detection of trace amounts of pollutant molecules (BTEX) in aqueous environments (saline or fresh water). He/she will contribute to the implementation of the complete optical system and associated
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& Spectrochimie (https://www.lcs.ensicaen.fr ) located in Caen (Normandy). The LCS has built its reputation on the preparation of zeolites and related porous materials. The selected candidate will be attached
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data (VCF format) ● Develop and benchmark a new Neural Network architecture mixing random and fixed effects (Mixed Effects Neural Networks, MENN) on sequencing datasets (WES/WGS), starting first from
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or imitation of these signals affects the fish's responses. In the first year, the team—composed of researchers, engineers, and PhD students—built an experimental arena equipped with high-speed cameras and
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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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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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. - Knowledge of programming techniques (C/C++, Python, Bash) in a Linux environment. - Knowledge of a version control tool (gitlab). - Knowledge of software architectures. - English (level C1). Skills: - Conduct
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of Strasbourg with complementary expertise (“Synthesis and Functions of Molecular Architectures” (SFAM), UMR 7140 – CMC; “Energy and Fuels for a Sustainable Environment” (ECED), UMR 7515 – ICPEES
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organic molecules in astrophysical environments—from cold interstellar ices to the early stages of planetary systems. The successful candidate will contribute to experimental studies simulating interstellar