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Field
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of translation is crucial for controlling protein levels and guiding development. In the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging
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models. by combining cutting-edge data science with advanced clinical expertise and imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD
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, including trans-differentiation of fibroblasts into neurons (iNeurons), development and screening of antisense oligonucleotides (AONs), live-cell imaging, and transcriptomic analyses. Laboratory work will
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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candidate you will: Collaborate closely with the experimental team that acquires these multiscale data Analyse rat MRI data, including integration with histology and calcium imaging Combine data across
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holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype
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, and multiphysics coupling, which are difficult to capture in-situ with traditional methods. Typically, imaging is possible in such application, but full mechanical characterization is not. Our vision is
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Technology are also welcome, particularly if their thesis work involved medical robotics, control systems, or image-guided interventions. Experimental Skills: Experience with experimental research in robotics
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how generative AI technologies reshape work practices. GenAI is no longer confined to automating routine tasks but increasingly produces outputs (e.g., texts, images, code) that were once the exclusive
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holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype