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Information Science, Engineering/Biomedical Engineering Department: Knight Campus Department of Bioengineering Rank: Assistant/Associate/Full Professor Annual Basis: 9 Month Application Deadline October 15
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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Life Science Nanomicrosystems is
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27 Feb 2026 Job Information Organisation/Company Instituto de Telecomunicações Department Instituto de Telecomunicações Research Field Engineering » Electrical engineering Researcher Profile First
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Week 35 Offer Starting Date 13 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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, PET/CT, and CT. The technologist is responsible for maintaining consistent high quality diagnostic images, making technical adjustments when indicated. b. Quantitative computer analysis on images is
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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Replication of ‘Carbon-Dot-Based Dual-Emission nanohybrid Produces a Ratiometric Fluorescent Sensor for In Vivo Imaging of Cellular Copper Ions.’” (2025) Preprint, Open Science Framework, https://doi.org
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Credentials Preferred Qualifications Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI
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Radiologic Technology (JRCERT) Demonstrated experience and ability to operate CT equipment to provide quality images. Experience performing similar duties in a trauma setting desired. Ability to display common
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of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis