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technology · Experience working with laboratory animals (mouse husbandry, handling and basic interventions) is an advantage · Good command of English; knowledge of Czech is an advantage · Computer
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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: Semiconductor processing or microfabrication Computational modelling (COMSOL, MATLAB, or similar) Experience with optical/THz systems is beneficial but not essential Curiosity, problem‑solving ability, and
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understanding of cellular processes. You will also use computational image analysis to study variations in protein spatiotemporal expression patterns in relation to the perturbations and other deterministic
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programme in optical imaging for health technology, exploring emerging and enabling technologies and their potential applications in healthcare. This includes integrating novel concepts such as advanced
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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: Processing biomedical images of different structures of the human eye using specialized software (Matlab, Python). Data handling using statistical software and Excel. Experimental measurements in
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. The applications Imaging IT supports are used by the Medical Center to acquire, store, report, and distribute imaging studies. The incumbent must have expert-level imaging informatics, leadership, and
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. The ideal candidate drives technological innovation and novel engineering design and desires involvement with growing a technology from prototype to functional pilot plant and beyond. The position will
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proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position