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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Dans les domaines du spatial, de l'astronomie et de la défense, l'émergence
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experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and
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to the development and refinement of analytical models, including predictive and spatial models, under the guidance of senior technical staff. The role supports translating quantitative outputs into meaningful
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in the regulation of bone homeostasis and in spatial biology. Experience with surgical animal models is desirable. Approaches used include animal studies in sheep, CT and µ-CT imaging, cryohistology
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networking and career development. Candidates should hold a MD, DVM, or PhD degree, and should have interest in the bone-kidney axis and in spatial biology. Experience with mouse models is desirable
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research and teaching will use spatial data and modelling to explore alternative futures of land use at local, European and global scales. You will show policy makers and different stakeholder groups
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. Experience in numerical modeling is an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-YANPEN-008/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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domain researchers’ scientific questions into scalable data models and analytical strategies. ● Experience designing and implementing data pipelines for geospatial datasets, including spatial attributes
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based on a methodological roadmap that integrates the joint use of a dynamic ecosystem model, enabling spatialised simulations, and a spatial habitat risk assessment model. The aim is to better understand
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based on an individual-centered spatial analysis approach (geomatics) using AgentBased Modeling to model mobility and its evolution. The postdoctoral researcher will intervene in the second phase