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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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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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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
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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be
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you will be responsible for managing a murine animal colony and conducting in vivo imaging in our murine model of atherosclerosis, and subsequent ex vivo analysis. What you would be doing: You will be
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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uses an interdisciplinary approach that integrates quantitative microscopy, live-cell imaging, molecular and cellular biology, computational analysis, and cancer model systems to investigate how
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at rescuing circuit dysfunction and evaluating outcomes using state-of-the-art behavioral characterization. We are seeking an expert in neural circuit analysis with experience in: In vivo two-photon imaging