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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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(ICOS), and become part of a vibrant research environment. What are you going to do? As a PhD candidate, you will develop an interdisciplinary research programme together with a postdoc researcher
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the course of 12 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the
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universities over the course of 12 years. The vision is a sustainable future through materials science. All early-stage researchers recruited into the WISE program will be a part of the WISE Research School
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of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB photography domain
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Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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the development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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://www.tudelft.nl/en/2026/tbm/tpm-researchers-receive-nwo-kic-consumer-behaviour-for-a-circular-system-transition-grant . The project includes 2 PhD positions, 2 Postdoc positions, and several researchers
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scholarships and some postdoc positions. More information can be found here: Norwegian Maritime AI Center. Duties of the position Conduct research on trustworthy agentic AI built on open-weight foundation models