417 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University"-"Prof" positions
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. This includes: • Developing targeted campaigns that highlight faculty research, student success, and innovative programs—key metrics in ranking algorithms such as U.S. News & World Report, QS World University
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
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algorithms, and machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations
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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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and software. In addition, they will work on algorithm development, optimization, programming, and computer science research. Hourly Salary Range: $37.60 – $78.35 JOB QUALIFICATIONS Qualifications All
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to implement the Data Strategy, develops and implements standard programming practices while also ensuring that they are employed across a study or program. What You’ll Do Leads, coordinates and manages timely
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: Fulltime Are you interested in working in an ambitious team that combines genomics and tumor evolution to better understand pediatric cancers? Do you have a passion for understanding why some cancers resist