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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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. Desirable Knowledge, Skills, and/or Abilities • Interest and experience in areas include, but are not limited to: Computer Architecture Embedded Systems Robotics Engineering Imaging and Machine Vision Signals
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
-professional Master of Science (MS) degrees in Medical Laboratory Sciences and Imaging Sciences. The program offered in Medical Laboratory Sciences has ranked among the top 15 in the country. MLS is
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arms, special procedure imaging, portable X-Ray machines, and associated support equipment. Apply By Date: 01/12/2026 at 11:59PM. Minimum Qualifications - For full consideration, applicants
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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Website https://www.academictransfer.com/en/jobs/357264/postdoc-position-in-microbubble… Requirements Specific Requirements A PhD degree in Applied Physics, Electrical Engineering, Biomedical Engineering
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to diagnose and troubleshoot problems with clinical photographic and digital imaging equipment. Working knowledge of Microsoft Windows operating environment. Well-developed computer skills. 4. Ability to assist
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get