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team, which consists of the PI, a postdoc and three PhD students, occasionally assisted by student workers and experts from the external digitisation partner. For this function, our Brussels Humanities
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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, neurodegeneration, advanced microscopy, stem cell biology, and cell biology. The project will leverage state-of-the-art imaging facilities and established human iPSC-derived models of Alzheimer's disease. The work is
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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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well as to indoor air directly. In addition to healthy cells, samples from patients with lung pathologies will be investigated. Readouts include analyses of cytotoxicity, barrier integrity, high-content imaging, live
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integrated electrodes. Cell co-culture. Biomolecular characterization. Permeability assays. Epifluorescence and confocal microscopy analysis and image processing. Data acquisition and processing. Sensors and
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interdisciplinary training in molecular biology, transcriptomics, bioinformatics, advanced imaging, and 3D cell culture, within a collaborative and well-supported research environment. Supervisors:Dr Susan Armstrong
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new, promising approach to enhancing the sensitivity of nuclear magnetic resonance spectroscopy and imaging. So far, it has relied on costly, bulky instrumentation, which has hampered development and
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focused on the development of next-generation compact hyperspectral spectropolarimetric cameras. Hyperspectral imaging enables simultaneous acquisition of spatial and spectral information, supporting
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Our team We develop next generation optical imaging and sensing platforms in the context of future biomedical, pharmaceutical and clinical applications. We are particularly interested in label-free