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and experimental models to study metabolic communication in GBM invasion. In this context, spatial transcriptomics and mass spectrometry imaging provide tissue-level maps of tumour–microenvironment
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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evolution and rarely align with climate model outputs. These models also exhibit biases due to the omission of certain physical processes, and their spatial resolution is often too coarse to be functional
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integration of West Nile virus and avian influenza issues into a participatory multi-agent model developed for the prevention of zoonoses as part of the PREZODE ZOOCAM project. The assignment aims to produce
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. The doctoral research is part of the TIRIS Scalingup Microcoredeal project, which aims to develop micro-models with a focus on designing and fabricating models that bridge the gap between laboratory settings and
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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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and generatingnarratives describing the changes in natural language. The PhD student’s main responsibilities will include: - studying the data structures of OSM and the Topo database (models
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
expressions, mouthing, spatial organization, and timing. Automatic translation from sign language videos into written text therefore requires modelling complex visual and temporal information, rather than
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
simulations are a key tool for testing scientific hypotheses and predicting the evolution of these systems. However, their computational cost remains prohibitive, particularly at large spatial and temporal
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be