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Field
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all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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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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11.11.2024, Wissenschaftliches Personal 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
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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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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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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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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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information about the PhD fellowship, please contact the principal supervisor. General information about PhD studies at the Faculty of Health and Medical Sciences is available at the Graduate School’s website
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The Department of Computer Science, Section of Software, Data, People, and Society, invites applicants for a PhD fellowship in Graph-based Data Analysis with Applications in Biology. The start date
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. The research project of the PhD student will thus focus on aggregating heterogeneous OSINT (Open-Source Intelligence) sources and aggregate retrieved data with cyber-risks indicators of the targeted environment