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and network mechanisms that underlie this compensation. Using state-of-the-art tools (electrophysiology, calcium imaging, genetic tagging, and computational modelling) you will test two non-mutually
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in medical imaging processing. Salary Range: $47,000 - $70,500
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The applicant must have earned a Master’s degree in communication engineering, computer engineering, knowledge engineering, engineering science, or a related field. Strong written and oral communication skills
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6 Jan 2026 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage
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State’s Administrative Data Accelerator http://www.accelerator.psu.edu , and the Social, Life and Engineering Sciences Imaging Center https://www.imaging.psu.edu . The successful faculty hire will also
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acquisition and processing. Image and data results are submitted for interpretation by Nuclear Medicine physicians. Exercises professional judgment in the performance of this service following the Code
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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covering technical capabilities for live-cell imaging, spectral imaging, FRET, FLIM, airyscan imaging, bioimage processing, analysis and data visualization. More information about instrumentation at ALMU
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including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent