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Engineering, Computer Science , or a closely related field Preferred Qualifications Experience in one or more of the following areas is highly desirable: Radiation therapy Medical imaging Image registration
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categories View less categories Academic Discipline Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Geology, Environmental, Earth & Marine Sciences Job Type
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: Master’s degree or equivalent in computer science, machine learning, data science, mathematics, statistics, electrical engineering, or a related field. Foreign completed degree (M.Sc.-level
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• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Biology, or a related quantitative or biological field. • Strong programming skills in one or more of Python, R, and Bash
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international equivalent) in a highly quantitative discipline like Biomedical Engineering, Computer Science, Mathematics, or Physics Meet all mandatory MSCA mobility rules - applicants must not have lived
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as necessary to achieve the program objectives. About you: Ph.D. in a relevant discipline (e.g. Medical Physics, Radiology, Computer Science, Physics, Mathematics, Medicine, or Engineering
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& EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics, or a related quantitative field earned within the
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indicators from video footage, coordinate laboratory recording campaigns and human annotation of welfare states, and work closely with Ace Aquatec's engineering team to specify, train and evaluate AI/computer
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 6 hours ago
, optical setup, instrumentation, data collection, and analysis. Training on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms
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at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The