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. Multiple spatial signal paths are utilized to further scale up data capacity beyond the limits of a standard fiber. This research aims to develop Few-Mode MCF, integrating two advanced Spatial Division
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work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
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to identify targets for the development of rejuvenation strategies. We have established a large dataset of single cell whole transcriptomic analysis of hematopoietic progenitors and bulk RNAseq of endothelial
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28 Aug 2025 Job Information Organisation/Company CNRS Department Institut d'électronique et des technologies du numérique Research Field Engineering Physics Technology Researcher Profile First Stage
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interannual variability of spectral signatures in different bands (Planet, Sentinel-3, Sentinel-2, ECOSTRESS, Landsat, SMAP), which will be linked to LUE-WUE and gc information from multiple eddy covariance
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22 Aug 2025 Job Information Organisation/Company Sveriges lantbruksuniversitet Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country Sweden Application
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on causal and mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
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center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI