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Field
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eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical
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. · Ability to collect, structure, verify, and document clinical data · Ability to support CRF/eCRF completion and study documentation. · Familiarity with hospital workflows and patient-related
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, as you’ll be working in an internationally diverse community and with international partners. Ability to learn independently and passion for research Team player, open to discussion and constructive
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. Experience of disseminating findings through publications and presentations. Strong communication skills, with the ability to work both independently and collaboratively with a research team. Preferred
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electronic engineering Engineering » Thermal engineering Researcher Profile
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processing, Electric Power Engineering, Antennas and Optical Networks, and Biomedical engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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us At the Department of Mechanical Engineering , we unite the power of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and
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AI techniques and tools Excellent communication skills and the ability to work effectively in a multidisciplinary and collaborative environment. Language skills Good level both written and spoken
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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candidates who excel at least one over someone who ticks all boxes): The ability to work in a larger engineering team; Experience with complex web-based code bases; Demonstrable experience with machine