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Field
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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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applied metrology and robotics. Vision This project addresses the challenge of rapidly and autonomously generating high-precision 3D reconstructions of large-scale complex assets. Uniquely, it integrates
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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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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential
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project. These datasets will combine information from high-resolution experiments (HR-DIC, HR-EBSD, nanoindentation mapping) and large-scale numerical simulations performed using advanced FFT-based crystal
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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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Rapid situational awareness is critical when health systems are overwhelmed by major incidents, including Chemical, Biological, Radiological and Nuclear (CBRN) events and large-scale mass casualty
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23 Mar 2026 Job Information Organisation/Company Slovak University of Agriculture in Nitra Department Institute of Economic Policy and Finance Research Field Economics Researcher Profile First Stage