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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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-based Tensor Processing Units (TPUs) engine with massive on-chip global buffers for data-stationary. Systolic Array (SA) architectures with novel spatial dataflows will be utilized, at a large scale, for
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leveraging standardised and centralised big data. The distinctive feature is the integration of nonlinear mixed effects (or multi-level) modelling of time-series (repeated measure) data in combination with ML
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to support a large variety of signals across larger access and metro network areas. For these novel scenarios, flexibility becomes an essential feature, driven by the development of flexible components and
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24 May 2024 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Sciences du Numérique Research Field Engineering Computer science Mathematics Researcher Profile
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in data science, AI and statistics; in ethics, governance, and responsible innovation principles related to the use of big data and AI; and in a range of environmental challenge domains. After initial
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this area is developing intelligent vision systems that can efficiently process large amounts of visual data while still maintaining high accuracy and reliability. The main aim of this thesis is to design and
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of the multiple, heterogeneous agents that compose them, and their continuous interactions and rules they must abide. To achieve these goals, we perform large-scale data analysis, minimalistic modelling aimed
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the standardization and harmonization of data across platforms. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical