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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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, and AI-driven sensing, this PhD offers a rare opportunity to develop in-demand skills in advanced mobile robotics, intelligent automation, data fusion, artificial intelligence (AI), precision metrology
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computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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11.11.2024, Academic staff In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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13 Apr 2026 Job Information Organisation/Company Inserm PACA Corsica Department iBV - U1091 Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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of Computer Science) is currently seeking a Predoctoral University Assistant ("PhD student") in the Big Data Algorithms Group headed by Sebastian Forster. The goal is to develop algorithms for solving clustering
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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates