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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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the analysis of images collected within the project to validate the new tools, in collaboration with cryo-EM practitioners. Additionally, the postdoc will work on developing new tools for the analysis and
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using sophisticated radiation-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, and provides images, data analysis, and patient information
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procedures using sophisticated radiation-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, and provides images, data analysis, and patient information
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to support a project that aims to create openly available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding
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assessment, imaging analysis, and laboratory investigation in a multidisciplinary academic environment. The successful candidate will support a funded research project that aims to generate clinically relevant
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on destructive assays or fluorescent labeling, which limit continuous monitoring of cell cultures. Label-free approaches represent a promising alternative. Hyperspectral imaging (HSI) enables the extraction
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oxygen status under contrasting environmental conditions. Application of imaging- and sensor-based approaches to visualise and quantify oxygen dynamics in roots and their surrounding environment. Analysis
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involving use of AI in image analysis and predictive modelling Develop prediction models that can predict product yield and quality from HTP data either for cultivation management or for predicting which
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acquisition, and analysis for diffuse optical imaging systems, including diffuse correlation spectroscopy (DCS), time-gated DCS (TG-DCS), and speckle-based methods (SCOS). The position requires continuity with