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                Employer- Delft University of Technology (TU Delft)
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- 
                Field
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                We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate 
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                in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and 
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                from, collaborate with, support, or improve humans; Deep Learning for Perception: Use of deep learning algorithms for computer vision, image and audio processing, and models of perception. The focus is 
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                , and the analysis of complex, large-scale datasets. Experience with image processing or machine learning is highly desired. A strong motivation to develop and apply cutting-edge computational methods 
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                devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data, such that you can propose novel autonomous data interpretation techniques. How to process 
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                22 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Netherlands 
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                30 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher 
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                25 Oct 2025 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agronomics Researcher Profile Recognised Researcher (R2) Country Netherlands 
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                The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by 
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                and document analysis. Explore what data are available on essential health resources and supporting systems, and assess their usefulness. Co-create a regional risk picture by facilitating workshops