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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array
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span from hearing, vision, and stem cells to infectious disease, neuroscience, and immunology. The newest facility opened in 2013 and hosts cancer and cardiovascular research. Center for Magnetic
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PhD in mRNA Vaccination and Innate Immunity Ghent VIB-UGent Center for Inflammation Research PhD Posted Date 19 Jul 2026 Locations Ghent Center VIB-UGent Center for Inflammation Research Lab Nucleic
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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well-structured form to the final industrial users. Recent advances in AI (Artificial Intelligence), specifically in NLP (Natural Language Processing) and ML (Machine Learning), are promising for
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English. Desirable qualifications Documented Experience with Python and/or another scientific programming language. Documented Experience with image processing, computer vision or machine learning or
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Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Computer Engineering, Computational Science, Data Science, Management Information
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large-scale human data (genomes, single-cell and spatial omics, longitudinal biomarkers, computer vision, electronic health data) with cutting-edge AI, we aim to fundamentally transform Parkinson’s