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-correlated environmental noise. 2. Simulation of the dynamics of a regional community of 3 species belonging to two or three trophic levels, considering different types of spatial networks, in the presence
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the vast majority of biodiversity), ecotoxicological literature is largely dominated by the honey bee Apis mellifera. The recent spatialization of pesticide sales data from the Banque Nationale des Ventes de
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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related to staff position within a Research Infrastructure? No Offer Description Part-time 2-year contract for a laboratory technician in 3D modeling and visualization in mathematics education. Offer
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E. coli cytochrome bd-I oxidase (2025) J. Chem. Inf. Model. 2026, 66, 3, 1757–1768 Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8000-FABCAI0-001/Default.aspx Requirements
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
PhD Studentship Advert Title: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin Supervisors: Prof Ruman Rahman, Dr Stuart Smith, Dr Phoebe McCrorie Project Overview
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technologies, spatial omics data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work
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tissue collection infrastructure, generate foundational single-cell and spatial omics datasets, and develop patient-tissue glioma organoid (PTGO) models to test immunotherapy strategies. The ultimate goal
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these bodies. A robust understanding of how icy materials behave under planetary conditions is essential for informing models and planning observations to optimize the science return of missions. The focus
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will