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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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coupled neuronal and vascular dynamics of the human retina. Scientific Objective The goal of this PhD project is to develop new optical methods and advanced image-processing approaches to simultaneously
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lining of blood vessels— which plays a central role in the development of vascular diseases. Blood vessels further complicate this picture through their complex geometries, featuring diameter variations
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-cell omics technologies, including single-cell RNA-seq, confocal microscopy, immunolabelling, and image analysis. Where to apply E-mail alessandra.pierani@inserm.fr Requirements Research FieldBiological
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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strong potential as well for enhancing the quality of produce and positively influencing the sustainability of agricultural processes. The market of agricultural robots grew at a rate of 19.3% from 2021
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, confocal microscopy, immunolabelling, and image analysis. Specific responsibilities: - To generate different stable lines for live imaging, birthdating, and ablation of CR cells and their respective
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require a switch to a more sustainable model. Bio-based feedstock is a promising carbon source to substitute petrochemicals, but requires a drastic shift from the current model. While the current paradigm
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hold a PhD in cell or developmental biology, with possible previous experience in microscopy and quantitative imaging. The successful candidate will be expected to work in an interdisciplinary and
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric