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3 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Communication engineering Engineering » Electrical engineering Researcher
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within the Department of Industrial Engineering and Innovation Sciences (IE&IS) at Eindhoven University of Technology (TU/e), collaborating closely with researchers working on predictive maintenance
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of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently
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of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently
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proteomics methods using mass spectrometry. Additionally, you will engineer full proteins and signature peptides for method development, calibration, and quality control. This work will provide the foundation
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Are you eager to innovate risk assessment methods and reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing inspection and data collection strategies optimization, and their integration within novel data-driven risk...
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mathematical control theory, and a keen interest in machine learning to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University
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of cell signaling and environmental mechanical properties. The research will be conducted in the Department of Biomedical Engineering at the Eindhoven University of Technology (TU/e) under the supervision
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highly motivated candidates with a background in HCI, AI, Design or robotics to apply for a PhD position in the Department of Industrial Design at Eindhoven University of Technology (TU/e). You will join
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&IS) at Eindhoven University of Technology (TU/e), collaborating closely with researchers working on spare parts logistics, supply chain design, and predictive maintenance.