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Your Job: We are offering a PhD position dedicated to the advancement of cryo-EM image analysis methods at the interface of Structural Biology and Electron Imaging at the Forschungszentrum Jülich
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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positions to pursue PhD projects in the areas of biology, chemistry, physics, mathematics or computer science. We are looking for young scientists with a vivid interest in interdisciplinary projects to image
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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& Applications. The SPARC group in SnT is pursuing research on signal processing applications in radar and communication systems in partnership with national and international academic and industrial collaborators
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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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. Develop novel methods for the application of cryo-(S)TEM methods to biological specimens including the operation of high-resolution electron microscopes. Perform and advance image analysis to determine high
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in practice together with industrial partners. Our Image Processing department has been specialising in traditional and AI-based image processing for over 25 years. We build industrial inspection
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. Specialized models like Med-PaLM 2 also provides advanced capabilities in processing and understanding medical language. However, despite these advancements, these models still face considerable limitations in