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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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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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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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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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neighbourhood exploration in combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta
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combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta-heuristics, has long favoured
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute in Copenhagen is looking for a meta optics expert to work on scalable neutral atom quantum computing from 1
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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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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