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prospective breast cancer screening trial focused on optimizing mammography interpretation with AI assistance. In this project, we will perform a prospective trial at the Dutch Breast Cancer Screening Program
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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Netherlands Application Deadline 15 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Netherlands Application Deadline 30 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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your knowledge with younger group members? If yes, then maybe you want to work as a research assistant. The Institute of Physics of UvA is reinforcing its research support team. We are currently looking
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Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search
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The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation between preclinical researchers, radiologists and cardiologists gives a fantastic opportunity to...
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PhD on Early Bilingual Language Development Faculty: Faculty of Humanities Department: Department of Languages, Literature and Communication Hours per week: 36 to 40 Application deadline: 1
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a master’s degree in a field such as human-computer interaction, design, communication science, artificial intelligence, health informatics, or comparable. Work experience is not required. Minimum
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that can accurately predict component health and optimize repair decisions. You will develop novel data-centric approaches to Remaining Useful Life (RUL) prediction that goes beyond traditional model-focused