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Field
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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is expected to soon be able to diagnose diseases occurring outside the retina. OCT images can be aberrated by the eye itself and imperfect optical design. Ocular imaging with adaptive optics promises
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and outreach activities of the department. The following topics are indications of possible research directions. - Post-quantum cryptography and fully-homomorphic encryption (Jean-Sébastien Coron
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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learning and AI models to imaging data [3]. The student will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine
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PostDocs in the group to express and characterize enzymes, develop analytical assays, and engineer enzymes using cutting-edge experimental and computational tools. Within the framework of BiONiX, you will
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to the nanometer scale. Project background Chirality describes whether an object is non-superimposable with its mirror image. Despite being a purely geometric property, chirality plays a crucial role in all living
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, novel high-resolution imaging systems to investigate submillimeter-scale turbulent dynamics in multiphase environments such as the ocean surface. The project is part of the Collaborative Research Centre
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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