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Field
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that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
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to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team working across the Cognitive Neuroscience Department and the Mental Health and Neuroscience Research Institute
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imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD candidates, and researchers working at the Intensive Care Unit of Maastricht UMC+ In
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team of experienced researchers in imaging, machine learning, oncology, and pathology. We do not discriminate on the basis of sex, gender, belief, culture, place of birth or occupational impairment when
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. The project is part of a larger NWO-VICI project, and as such the recruited PhD student will be expected to closely collaborate with at least 2 other PhD students and one postdoc within the project. While
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student will be expected to closely collaborate with at least 2 other PhD students and one postdoc within the project. While this PhD project will focus on sustainable membrane production, others will focus
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
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. Prototype Fabrication and Experimental Validation: Based on simulation results, fabricate prototype antenna arrays to conduct experimental measurements. This phase will validate the models and designs
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rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and
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Our goal: To better understand how the brain’s vascular architecture contributes to health and disease, and to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team