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Field
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humanities. We combine terahertz, ultrasound, infrared thermography, hyperspectral/multispectral, and X-ray imaging with multimodal data fusion, interactive visualisation, and digital twins. Results
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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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domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact journals. Close collaboration
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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, adversarial attacks, and
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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, multi‑dimensional imaging data and enable richer exploration of historical paintings in collaboration with the Van Gogh Museum. Information Paintings are examined to understand artistic processes, support
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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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fluorescent proteins, SNAP-tag labeling, and related cell-based imaging approaches. • Prepare samples for and perform experiments using super-resolution microscopy and single-molecule fluorescence imaging
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(Advanced Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells), funded by the MSCA Doctoral Networks. Entitled “Characterizing altered 3D chromatin organization in Arabidopsis
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. To this end, we will combine high resolution scanning probe microscopy with fluorescence imaging to study amyloid and tau proteins in biofluids from patients to identify those at risk of developing a specific