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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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expertise in quantitative biophysics and/or modeling approaches. • Experience in advanced imaging, quantitative data analysis, and image processing. • Ability to develop interdisciplinary approaches
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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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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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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• Exploration of dielectric-based resonant and non-resonant nanophotonic architectures compatible with large-area fabrication • Demonstration of prototype metasurface devices combining optical selectivity
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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• Exploration of dielectric-based resonant and non-resonant nanophotonic architectures compatible with large-area fabrication • Demonstration of prototype metasurface devices combining optical selectivity