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) technology offer new opportunities to improve the diagnostic quality of chest imaging. With its ability to provide ultra-high-resolution (UHR) images and spectral information, PCCT has the potential to enhance
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Imaging Mass Spectrometry 102983
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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members. The work will benefit from the Institute's facilities, including an ultra-high-speed camera, imaging and characterisation platforms, and a microfabrication platform comprising a clean-room facility
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an open research position for a talented and motivated researcher. Motivation Conventional cameras capture two-dimensional images, even though our world is three-dimensional (3D). This lack of depth
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 3 months ago
proteins using a wide range of imaging methods. The Rudolf Virchow Center is looking for a PhD student (f/m/d) (Bioimaging / Biophysics) in the field of whole organ fluorescence imaging Antibodies
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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areas of nanoscience and nanotechnology. Job Title: PhD STUDENT (INTRANASAL TREATMENT AND IMAGING OF NEUROLOGICAL DISORDERS USING NANOPARTICLES) Research area or group: Nanostructured Functional Materials
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine