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or the glutamate receptors, little is known about the interactome of neuronal nAChRs. We are looking for a highly motivated post-doctoral fellow to conduct an integrative structural biology approach to identify and
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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Electronique embarquée de conditionnement pour électrode de référence dans un accumulateur Li-ion Postdoctoral position in analog embedded electronics and electrochemistry, for Reference Electrode
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and decision support systems (DSS) to improve integrated water resources management. The project is dedicated to making significant progress in addressing water scarcity in Mediterranean regions by
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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systems. In particular, highly functional flexible electrochromic (EC) systems involving the integration of several active materials (metal oxides, electrolytes, network of metal nanowires used as
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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University. The contract staff recruited will be integrated into the ModES 'Modelling and Spectroscopy' team and will work directly with Dr Morgane VACHER. Where to apply Website https://emploi.cnrs.fr
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that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 1 day ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling