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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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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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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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include other domain models (e.g. emissions, noise) in collaboration with other researchers. This PhD position is part of the Dutch Aviation Systems Analysis Lab (DASAL), a flagship collaboration between TU
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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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of cell-based therapies. In this role, you will develop and validate innovative image analysis techniques for LAFOV PET/CT imaging. You will collaborate with leading researchers and contribute to clinical
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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
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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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that explain why some repeat RNAs are toxic while others are not. Your responsibilities include: Independently conducting experimental work and performing data analysis; Presenting your progress in regular team
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econometric analysis and development of pathways based on what-if scenarios. A key component of your work will be integrating these insights into the European Digital Ocean platform (EDITO). You will