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. PhD Candidate Neuroimaging in Epilepsy Our goal: to leverage advanced Magnetic Resonance Imaging (MRI) techniques (including functional MRI to assess brain network metrics and MR spectroscopy to measure
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imaging approaches such as SEM, and Fluorescence Microscopy (Laser Scanning Confocal Microscopy) is required. It is desired to have cell biological expertise both theoretical and practical with preferably
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geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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system module and investigate linkages with the more detailed IMAGE model. The project is embedded in the broader EMBRACER programme, which aims to advance our understanding of climate feedbacks. You will
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multi-agent systems, (medical) signal and image processing, FAIR principles, game theory, intelligent search techniques and affective computing are internationally recognized. What makes our research so
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it an advantage if you bring the following: Experience in MRI brain imaging and/or EEG analysis Interviews will take place on December 1st in the afternoon (2:00-4:00 PM) and possibly on December 5th
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of following the “Building with Nature” paradigm, to understanding how achieve a healthy biodiverse environment. We do frontier applied science, meaning that we link fundamental understanding to societal usage
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to functionally validate our proteomics discoveries with in vitro phenotypic assays and microscopy imaging. For this position, we seek a highly motivated biochemist or analytical chemist with proven expertise in
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-driven strategizing and tooling. Prototype, test, and refine existing and new value-driven tools for collective strategizing. Conduct interviews, workshops, and co-design sessions to study collective