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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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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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reputation. Eligibility criteria See PhD theses | SCK CEN Selection process See PhD theses | SCK CEN Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en
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have earned a PhD degree in communication engineering, computer engineering, knowledge engineering, engineering science, or a similar field. The candidate who has held a PhD degree for less than 5 years
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. Obviously, you can also benefit from these opportunities and the Academy’s excellent reputation. Eligibility criteria See PhD theses | SCK CEN Selection process See PhD theses | SCK CEN Additional comments
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. Apply:https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/phd-3d-computer-vision-medical-imaging
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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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» Electronic engineeringEducation LevelPhD or equivalent Skills/Qualifications The Candidate should demonstrate knowledge and practical experience in visual systems, image processing and analysis, as