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analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a
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epidemiology, remote sensing, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches; - Develop and implement
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duties and responsibilities include: computational (meta)genome mining and quantitative data analysis of biosynthetic and catabolic genes and clusters, pathogenicity genes and other functional genes
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: a continental data synthesis and meta-analysis” is available at CCARBON, a Research, Innovation and Dissemination Center (RIDC) supported by FAPESP and hosted by the University of São Paulo's Luiz de
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the Principal Investigator (PI) on the project “Meta-Learning of Robust State Estimation for Agile Mobile Robots.” The position focuses on advancing state estimation and odometry for robotic systems, with
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optimization, focusing on pore-to-rhizosphere scale nutrient uptake and yield dynamics 14C modeling for soil organic and inorganic carbon Global soil meta-databases collection, integration, and synthesis Earth
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world
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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a centralised data hub, and leverages this platform