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Field
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techniques at the nuclear microprobe (CEA IRAMIS) and neutrons/X-Ray imaging techniques at synchrotron/neutrons facilities (CEA IRIG). The postdoctoral associate will be responsible for testing
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farm, with a focus on short-term forecasting of convective systems capable of causing heavy precipitation and wind variability. These conditions must be anticipated as they can disrupt farm production
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for the sustainability of alpine infrastructure and the search for building materials better adapted to climate change. 1. Laboratory Experiments: • Conducting uniaxial deformation tests on permafrost samples and building
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publish results in leading conferences and journals The postdoctoral researcher will be based at LIS in Marseille but will collaborate closely with colleagues at LPT in Toulouse. Short research stays in
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) Familiarity with semantic technologies (ontologies, RDF, SPARQL, etc.) Experience with graph databases and triple stores: Neo4j, ArangoDB, or Apache Jena Fuseki Collaborative software development: use of Git
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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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the movement of a wide range of signalling molecules such as transcription factors, small RNAs, hormones, pathogens/disease factors, but also nutrients (hence carbon allocation) between cells, tissues, and
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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boson and of the polarisation of vector bosons. It contributes to the development of data reconstruction software for the new tracker (ITk) that the ATLAS collaboration will install for the high