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fellow whose research will aim to quantify the impact of this infrastructure on biodiversity, using a multi-taxon (birds, reptiles, amphibians, insects, soil fauna, etc.) and multi-scale approach. The post
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This postdoctoral grant is funded by the HERMES project, devoted to multi-messengers of the Earth and the Universe. More specifically, the aim of this research project is to explore theories of modified gravity
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at LOA using in-house laser systems and at international facilities such as the FACET-II 10 GeV accelerator at SLAC in the US and multi-PW to 10 PW laser facilities such as APOLLON in France and ELI-NP in
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the high fraction of coherent photons delivered by the upgraded ESRF-EBS storage rings to probe nano and atomic scale structures and dynamics. Dynamics is studied using X-ray Photon Correlation Spectroscopy
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well as the development of characterisation methods (specific and/or tailor-made). The establishment of property correlations at different scales is studied in close relation to a wide range of applications (health, energy
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will design a research framework and propose an approach tailored to the subject of study: they will conduct a multi-site field study (lasting at least four months) in India (and potentially in Brazil
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of effective transport properties using in-house developed software. • Simulations: Performing multi-scale infiltration simulations, based on previous images, using internal tools/software. LCTS is a joint lab
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complementary satellite data (e.g. multispectral, multi-frequency SAR sensors) to improve the characterization of forest structure, biomass and deforestation dynamics at various scales. Development
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opportunities to engage in scientific activities both in Luxembourg and abroad, including seminars, summer schools, conferences, and more. The postdoctoral fellow will be working on developing multi-scale and
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 21 days ago
unified understanding of behavioral adaptation. The project aims to: Develop and analyze computational models that capture flexible, multi-timescale learning and adaptation in recurrent neural circuits