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Sign In Create Profile Coordinator, Marketing and Data, Electrical and Computer Engineering (Part-time) Tucson, AZ, United States | req23947 Apply Now Share Save Job Posted on: 9/16/2025 Back
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Sign In Create Profile Research Program Administration Officer III, Department of Orthopaedic Surgery Tucson, AZ, United States | req23757 Apply Now Share Save Job Posted on: 8/26/2025 Back
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Sign In Create Profile Lecturer, Electrical and Computer Engineering (Part-Time) Tucson, AZ, United States | req23751 Apply Now Share Save Job Posted on: 9/9/2025 Back to Search Lecturer, Electrical
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of research activities in Dr. Ferguson's lab. Data Collection and Analysis: Aids Dr. Ferguson and his team in basic bioinformatics data collection and analysis to support to the overall study
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Computer Science and B.S. in Artificial Intelligence) as well as two graduate degrees (M.S. and Ph.D. in Computer Science). Current research areas include algorithms, bioinformatics, compilers, computational
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maintenance of bioinformatic pipelines for cutting-edge omics data analysis. We seek a dynamic and passionate individual with experience in computational biology to drive our research mission forward and
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Student Services Administration Professional II, Biomedical Informatics (College of Medicine-Phoenix
Department Website Link College of Medicine-Phoenix Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights The Department of Bioinformatics (BMI) at the College of Medicine-Phoenix seeks a
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. Approaches make use of spatial omics, advanced imaging techniques such as 3D deep tissue staining, microCT, and synchrotron imaging, as well as bioinformatics analyses. The Schimmel lab has ongoing
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hemorrhagic telangiectasia. Approaches make use of spatial omics, advanced imaging techniques such as 3D deep tissue staining, microCT, and synchrotron imaging, as well as bioinformatics analyses. The Schimmel
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data