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Engineering: brain–machine interfaces, neuromodulation, neural signal processing, neurotechnology development, computational and systems neuroscience, neural recording and stimulation technologies, wearable and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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12 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Computer science » Other Mathematics » Statistics Neurosciences » Neurology
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in physics or engineering including wave physics and signal processing Expertise in flow quantification and mapping with ultrasound imaging mandatory Extensive experience in programming (Matlab and C
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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. Maintains thorough knowledge and understanding of imaging technology employed in their section including theory of operation and rationale of QC procedures performed. QualificationsEmpty heading Education
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be