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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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particular. By implementing LLM‑driven agents that plan the analysis workflow, call established image-analysis modules and judge their own output, you will streamline image processing efforts and enable
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support the Preclinical Imaging Shared Resource (PISR) within the University of Kansas Cancer Center and the Department of Cancer Biology. This position will develop and apply advanced preclinical imaging
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
operation. Field of Science: Engineering Advisors: April Jewell [email protected] (818) 354-3474 Questions about this opportunity? Please email [email protected] Point of Contact Mikeala Eligibility
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 7 days ago
. The Durability, Damage Tolerance, and Reliability Branch (DDTRB) conducts a broad-based research and technology program that quantifies behavior, durability, and damage tolerance of structural materials; develops
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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-0157/25], carried out under the First Team programme of the Foundation for Polish Science, co-financed by the European Union under the European Funds for Smart Economy 2021–2027 (FENG). Quantitative