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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | 26 days ago
Job description:Title: DC9, PhD fellowship in the design of Information Extraction Tools to characterise molecules produced or degraded by microbes and applications to plant-fermented food
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paradigm shift in the design and administration of future drugs using nanotechnologies. However, despite their undeniable advantages (e.g., increased biocompatibility, modularity, versatility of payloads
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12 Mar 2024 Job Information Organisation/Company CNRS Department Chimie du solide et de l'énergie Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 1 Apr 2024 - 23:59 (UTC) Type of Contract Temporary Job...
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optimization applied to additive manufacturing. This recruitment is being funded under the Electric Power 4.0 project of the 2021-2027, contrat de plan État région (CPER) 2021-2027 Workplace Compiègne Contract
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contribute to molecular interaction studies, structural studies and functional studies in liaison with collaborators. - Monitor scientific and technical development in the field of activity. - Plan, design and
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of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities for imparting desirable characteristics to plant-based
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, proteins. We also plan to explore other means of sample preparation, such as cryo-milling in FIB, and sample characterization such as scanning electron microscope (SEM). The applicant will work to the
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centres and private companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities
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) This document should be sent to [email protected] . Pre-selected candidates will be asked to provide a more detailed research plan and will be interviewed by the international Scientific Advisory
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of the geometry (camera parameters and cloud of 3D points) from images and the surface reconstruction.A promising way of research is the design of deep learning methods that improve the surface reconstruction