22 phd-big-data PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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the field of Artificial Intelligence (AI) by developing cutting-edge collaborative learning techniques that enable AI models to learn from large-scale decentralized data while preserving user privacy. Our
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16 Apr 2024 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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17 Apr 2024 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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more about what it's like as a PhD candidate at TU/e? Please view the video. Information Do you recognize yourself in this profile and would you like to know more? Please contact Dr. S.A.M. Dolmans
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candidate will perform research with potential deployment of results in industrial products of Grass Valley and Adimec. The goal of the PhD candidate is to research and develop AI models for multi-camera data
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, navigation and sensing. Modern signal processing and AI can be used to extract meaningful information from changing channel conditions and changing EMC environments. This project is part of large EU initiative
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of a testbed, lies within the scope of the positions. Embedding of the PhD students The positions are embedded in two large European initiatives called DistriMuse and SOIL with large consortia spread
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22 Mar 2024 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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problems of today and tomorrow. Curious to hear more about what it's like as a PhD candidate at TU/e? Please view the video. Information Do you recognize yourself in this profile and would you like to know
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situations. To study decision-making processes, this PhD project is methodologically comprised of two interrelated parts: the first part involves using machine learning techniques (i.e., LLM) and big data