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and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information
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-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, participates in clinical and non-clinical research, and provides images, data analysis, and patient
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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, MATLAB, and R, combined with experience in signal and image analysis, as well as familiarity with electronic health data, will be distinct advantages. https://www.bcm.edu/departments/surgery/research/atlas
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. The Research Instructor will work on exciting projects related to cellular mRNA surveillance using imaging, genome engineering, and high-throughput sequencing. The ideal candidate will have a doctoral degree in
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equivalent in Computer Science, Informatics, Software Engineering or a related field The ideal candidate should have some knowledge and experience in a number of the following topics: Software Cybersecurity
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at least two of: fluorescence microscopy, microfluidics, image analysis, flow cytometry • Laboratory experience in microbiology or cell biology • Independent experimental design and execution capability
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. This position will work all shifts (day, night and graveyard) including weekends/holidays. Performs various radiographic exams and processes images on various archival systems. Professionally accountable
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/geochemistry/mineral resources), Computer/Data Science (ML/AI), or genuinely interdisciplinary backgrounds. Typical desirable skills (vary by DC): Igneous petrology, mineralogy, geochemistry, volcanology
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 11 hours ago
, imaging, open surgery, and endovascular intervention. We place a strong emphasis on clinical quality outcomes, innovation, and exceptional patient experience. Practice Environment: Faculty members