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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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PhD Position: High resolution Transmission Electron Imaging in Scanning Electron Microscopy Job description Scanning Electron Microscopy (SEM) is one of the most widely used imaging tools in
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 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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Award Summary 100% home fees covered, and a £31,805 stipend per year for students who are eligible for Home fee status. Overview Plastic pollution is one of the defining environmental challenges of our time. This PhD project aims to develop the next generation of engineered enzymes capable of...
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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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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a researcher (m/f/x) ready to try new techniques and approaches and explore and tweak them until they work. The lab
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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