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expertise including cardiac electrophysiology, cellular biophysics, imaging, aging, and proteomics. Training in a variety of super-resolution quantitative microscopy and image analysis techniques, mass
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candidates to apply for a post-doctoral position in Biomedical Research investigating allergic, immunologic and metabolic processes. The candidate will join a multi-disciplinary team focusing
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and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in optical, mechanical and
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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to extracellular matrix, macrophages · Prior experience with: o Advanced cellular imaging techniques, including live-cell imaging o Coding/bioinformatics analyses o 3D and/or organoid models o
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which each constituent unit processes energy constitute active matter. Active colloids promise to harness the potential that “activity” can deliver in terms of new materials and devices. A challenge
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, hardware setup, calibration and data collection. Maintain accurate experimental records and document results in a reproducible format. Process and analyse spectroscopic and imaging data using quantitative
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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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, imaging, and data processing. Activities will be mainly carried out at the BNIF platform, Building 50 of the Triolet campus, and will require strong autonomy, flexible organization, and a collaborative