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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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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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10 Apr 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Religious sciences » Church studies Researcher Profile First Stage Researcher (R1) Application Deadline
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-scale experiments will offer high-resolution measurements ideally suited for comparison with detailed numerical simulations, while large-scale experiments will provide data relevant to coarse-grained
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7th April 2026 Languages English Norsk Bokmål English English Are you interested in large-scale landscape changes and landscape architecture? PhD position within Landscape Architecture – Large-scale
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information in unstructured free-text notes. While structured (coded) fields are commonly reused for research, a substantial amount of nuanced and context-rich patient information remains locked in the large
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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-electrochemical platform, the Electrochemical Leaf (e-Leaf) – a powerful interactive enzyme operating platform exploited in diverse configurations. (1, 2) Inherent in this PhD project will be transformation
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of the ways in which bacteria control accumulation of toxic molecules to improve solvent tolerance in E. coli. If we understand how accumulation can be limited, we can engineer bacteria to become more solvent
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
the communication and storage needed to retain most of the information. Environment. The PhD will take place at Inria Grenoble, in the Thoth team. This is a large team focused on machine learning, and