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, proteomics and advanced imaging. This research project will be executed in close collaboration with the Princess Máxima Center. Radboudumc Welcome to Radboud university medical center (Radboudumc), where
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clogging of fluid pathways. Are you ready to dive into the how, using cutting-edge imaging techniques? Then the Department of Earth Sciences is looking for you! We would welcome a highly motivated and
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for deployment and operation on a real-world quantum network prototype, build by the Quantum Internet Alliance (QIA) collaboration. The successful candidate enjoys experimenting with different approaches, and is
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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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project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG). Perform anatomical dissections on human
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quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome
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performance programs. As a PhD candidate in this project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG
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processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic plasticity reshapes neuronal behavior. Your job Traditional electrophysiological
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imaging, X-ray tomography/radiography).
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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