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» Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Lisbon) Country
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Resources Office providing the highest level of customer service delivery to both the public and the CNU community. Projects a positive image of the department and university to all constituents. Provides a
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
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epidemiologic studies on cognition, dementia, biomedical imaging, and social determinants of health. Specific tasks include, but are not limited to, performing statistical analyses; contributing to statistical
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, based in Angers and Rennes (University of Angers, University of Rennes, INRAe, Biogenouest, France Life Imaging), offers cutting-edge biomedical imaging solutions. With four preclinical MRI systems (1.5T
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academic and industry partners ensuring a broad-based, growth-oriented experience and a large, diverse field of colleagues. The Kummer lab specializes in techniques including imaging, molecular biology
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Accountability & Restorative Practices (OSARP) facilitates student development and restoration through a fair process that holds students accountable to community and university standards in order to support
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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from traditional brands in terms of price, quality, safety, credibility, image, with the interpretation of sustainability and quality signals conveyed by the product and its presentation also playing a
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will