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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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, Cell Biology, or a closely related field. • Extensive research experience in cell-based imaging, biophysical analysis, molecular cell biology, or related disciplines. • Demonstrated expertise in super
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of denoising algorithms and incorporation into PET image reconstruction Data and image analysis. Writing scientific publications and participating in international conferences. Developing professional algorithm
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to neurodevelopmental disorders, including autism spectrum disorder. The successful candidate will use slice and/or in vivo electrophysiology, optogenetics, and complementary molecular or imaging approaches to study
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methodologies including in vivo calcium imaging, optogenetics, electrophysiology, and molecular approaches. The work will be conducted in an international and collaborative research environment, offering
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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(TU/e) and the Van Gogh Museum. TU/e provides leading expertise in visual analytics, scientific visualization, Explainable AI and the analysis of complex imaging datasets. It has generated several award
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and is organized into four major clusters: immunology, cancer, neuroscience, and cardiovascular research. These are complemented by platforms in digital medicine, medical imaging, metabolism, and
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in