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rounds of screening for 84,000 women and will leverage new knowledge that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial
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-intensive and innovation-oriented industrial partners. As core expertise, the consortium specializes in developing new chemical building blocks that, when applied on industrial scale and with industry-leading
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Duijnhoven , which currently consists of 6 PhD students and 2 postdocs. Within the NWO-project, you will closely collaborate with the postdoc and Principal Investigator (Prof. dr. Riccardo Fodde) at Erasmus MC
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to provide targeted interventions for improved patient outcomes. Aligned with RIS3 aims, it strengthens the Northern innovation ecosystem. The specific role of the postdoctoral researcher working in
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cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
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, Linguistics and Media and Journalism Studies. For this role, we are looking for someone who: Has a PhD degree in any area related to the tasks (e.g. Computer Science, Digital Humanities, or Information Science
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, including grades. Your PhD thesis. Starting date of the position: flexible, currently aimed to start around February 2026. For more information regarding this position, you are welcome to contact Dr. Silke
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-molecule transport and measure the NPC nanoscale structure using TEM, AFM, FRET, DIB, MINFLUX, etc. We study purified yeast NPCs as well as design the amino-acid sequence of the IDPs and TRs de novo from
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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of the world who will make valuable contributions to a sustainable, healthy future. Are you interested in joining the Faculty of Science? You will join undergraduate students, PhD candidates and researchers