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Field
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Challenge | Overheating in existing dwellings due to increasing hot weather Change | Affordable, acceptable, effective nature driven facades Impact | Improved health and lower cooling energy demand
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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and collaborative research within one of the project’s research themes. Develop, apply, and document quantitative models and analyses of electricity markets, energy systems, or flexible demand
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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Including Renewals: 6 months Objectives To develop and validate a hierarchical, time-dependent forecasting framework for the COVID-19 pandemic, integrating heterogeneous epidemiological and data-driven models
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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team at the interface of environmental modelling and data science. At Hereon, the research group combines: - long-standing expertise in air quality modelling - with growing activities in data-driven
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on identifying and investigating novel therapeutic targets in acute myeloid leukemia (AML) and developing new therapeutic strategies. We seek a highly motivated scientist proficient in using routine molecular