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Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across both science and
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adaptive image and schema descriptions for digitized books and collections of the National Library of the Netherlands (KB) for blind and visually impaired readers. Background Around 25% of the Dutch
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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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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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. 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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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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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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functional and structural connectivity within the brain using electrophysiology and advanced imaging techniques. We study how changes in synaptic strength, network activity, and behaviour evolve from
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(e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT, or fluoroscopy. Proficiency in Python coding language and