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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
matrix analysis, and imaging-based optical measurements; evaluate RGB projection quality, image contrast, colour fidelity, modulation transfer, and stray-light suppression; study optical performance under
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or quantitative data analysis is a plus. You are interested in developing and applying novel technologies and are willing to learn and work across disciplinary boundaries. You collaborate with
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surface metrology. It is relevant to have experience with analysis techniques such as AFM, WLI, contact-angle, XPS, infrared metrology. You will work in the XUV Optics group at the University of Twente
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PhD candidate to develop the modeling and signal analysis methods that turn nanobubble ultrasound imaging into a quantitative diagnostic tool. You will work with imaging data acquired from lab-grown
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. You will work within a large group of approximately 20 bioinformaticians embedded in the Department of Human Genetics, who are responsible for the analysis of genetic data for patient diagnostics
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this project, you will develop new image analysis methodologies for less invasive and non-invasive quantitative brain PET studies using LAFOV PET/CT. You will work on model-independent kinetic analysis methods
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about it here. You will work in this team You will be appointed in the Biosystems Data Analysis group at the Swammerdam Institute for Life Sciences (SILS). The group develops and applies computational
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are interested in using computational methods to understand biology; are fluent in English, written and spoken. Experience with single-cell transcriptomics data analysis and working with high-performance computing
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic