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Designing and evaluating segmentation algorithms for multi-energy spectral CT data Contributing to or leading work on advanced reconstruction, spectral decomposition, or signal processing methods Integrating
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signals circuits, biomedical imaging, and photonics and semiconductors, with ML/AI infused in several of these research areas. Situated conveniently in the hub of the Dallas–Austin–Houston technology
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holder will help to execute an innovative research program encompassing the fields of control engineering, biomedical engineering, signal processing, real-time systems and artificial intelligence
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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• Excellent communication skills and ability to work independently Core Technical Skills • Machine learning for time-series or latent-variable models • Signal processing of physiological data (e.g., EMG, EEG
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that project from centrioles at the cell surface. They play key roles in cell signalling, which are essential for the development and function of most tissues and organs in our body, including our sensory system
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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at conferences and contribute to high-impact publications. Qualifications Required Qualifications: PhD in Biomedical Engineering Preferred Qualifications: Some neuroscience coursework About the Department
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project that involves designing microfabricated biomedical sensors and the readout circuitry for recording electrophysiology and electrochemical signals from biological samples. The overarching goal
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13 Feb 2026 Job Information Organisation/Company University of Aveiro Department SGRH Research Field Engineering » Biomedical engineering Biological sciences Researcher Profile First Stage