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Field
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-edge detectors and provide data processing, visualisation and analysis solutions that enable researchers to rapidly interpret results from X-ray scattering, imaging and spectroscopy experiments. Our
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 13 days ago
stages onward, and the development of disease-stage-specific imaging and This position is part of the DFG Research Unit "Layers of Memory" (subproject P7), a consortium spanning Bochum, Bonn
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chemogenetic (DREADD) manipulations • In vivo Ca2+ imaging (miniature microscopes and fiber photometry) in freely moving mice • Neurotransmitter biosensor imaging in freely moving mice • Behavioral paradigms
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, mucosal and epithelial biology, host–pathogen interactions, aging, and related areas. Take responsibility for advancing assigned projects from experimental planning through data generation, analysis
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bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
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-learning, deep-learning, chemometric, or related computational methods to imaging, spectral, sensor, process, environmental, or other complex scientific data. Strong quantitative data-analysis and scientific