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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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Job description Next generation automotive imaging radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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. The project offers a unique opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation.
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physics, particularly photodetectors or image sensors. Experience in at least one of the following: semiconductor processing, cleanroom fabrication, device modelling or TCAD, electrical characterisation
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will be integrated into the TIFUUN instrument, a new superconducting imaging spectrometer for terahertz astronomy. Beyond laboratory development, you will actively participate in the commissioning and
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reuse are currently made across different European contexts. You will map and analyse existing decision-making processes and strategies using qualitative research methods. Based on your findings, you will
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join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
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-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes