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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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application! We are looking for one or more PhD student(s) to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments Much of the traffic in 6G networks
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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science » Computer systems Medical sciences » Other Physics » Optics Architecture » Other Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Spain Application Deadline 21 Jan 2026 - 23:59
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for an FWO PhD scholarship to further develop the initiated research (if eligible). Advantages strengthening the candidate’s profile, but strictly required: Experience with machine learning or system
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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exclusively by the Foundation for Science and Technology, I.P./MCTES, within the framework of the multi-year funding of R&D Units, for the period 2025-2029, through national funds (PIDDAC), aimed at the PhD in