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-driven hypotheses into experimental designs. Plan, execute, and oversee experiments across multiple modalities (e.g. proteomics, biochemistry, biophysics, metabolomics, imaging). Design efficient
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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on biomedical imaging and neural engineering. Areas of interest include (but are not limited to): Biomedical Imaging: advanced MRI methods, functional and structural neuroimaging, optical imaging, molecular and
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imaging and spatial transcriptomics pipelines for high-resolution molecular profiling in intact tissues. The specialist will develop and apply methods enabling large-volume processing-such as whole brain
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, answering phones, and greeting office visitors. Recognize a coding system and operate the computer and scanner to image and store confidential documents into a database. May assist with other office tasks as
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-leading center for research and innovation in medical imaging, image analysis, and biomedical engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 11 days ago
Methods and Programs in Biomedicine Update, 2024, 5:100148. https://doi.org/10.1016/j.cmpbup.2024.100148 de Hond, A.A.H., Leeuwenberg, A.M., Hooft, L. et al. Guidelines and quality criteria for artificial
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tomography and will include using and advancing 3D/4D image quantification for such materials/data plus establishing experiment/data-analysis pipelines. You will develop your own experiments as well as working
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), ten images of student work (with captions), and the names and contact information for three references who have agreed to provide letters of recommendation upon request via interfolio at https
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performance in bakery applications. The work will explore the use of non-destructive hyperspectral imaging in the near-infrared range (900–1700 nm), combined with data science and multivariate analysis tools