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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds [4ff9-7c9a-edd-cc94] Project Title: Image guided intervention supported with
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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histological validation within murine cancer models. We offer an association with the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ-specific inflammation” graduate school
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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that have been developed in-house based on the OSIRIS Particle-In-Cell simulation software. The code needs to be verified and further developed with user cases against experimentally gathered data sets
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The section of Radiology at the Department of Surgical Sciences, Uppsala University, is organized in several research groups that conduct research within the development and application of imaging
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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical