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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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Application deadline: 31/07/2026 Research theme: Laser Physics How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees
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Optimization group at the Institute of Climate and Energy systems (ICE-3) at Forschungszentrum Jülich and the group working on Methods for Model-based Development at RWTH Aachen. The PhD candidate will be based
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on: Analysis of methodologies for integrating data of different nature (ground-penetrating radar, InSAR, FWD, ...) into BIM/GIS information models. Spatial analysis methodologies will also be developed
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
temporal, spatial, and stylistic constraints, as well as enabling intuitive and high-fidelity post-generation editing of the video content. The research will aim to produce models that are not only
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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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PhD within three years. Applications must be submitted online: https://jobs.rptu.de/jobposting/42c5a22614edf86c3c50aefffdb3729181ad4f7e0 Where to apply Website https://jobs.rptu.de/jobposting
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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phasing. • Ensure the implementation of the project methodology: thin-layer excavation, micro-spatial recording, full dry-sieving, on-site sediment sorting and systematic sampling of charcoal-rich