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to, patient-specific, monthly, daily, and annual QA, machine and equipment acceptance/commissioning, imaging technology, treatment ordiagnostic planning, special procedures, and radiation safety. The focus will
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www
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: Environment Engineering, or similar. Where to apply Website https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros Requirements Research FieldEnvironmental science » OtherEducation LevelMaster Degree
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justice; and experience in incorporating technology into pedagogical approaches, including designing and implementing hybrid format courses. Social justice dimensions are a key component of our program
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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digital innovation. Minimum Qualifications: Education and Experience: Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field; Master’s degree strongly preferred. 12
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 1 day ago
responsible AI. You will be a part of creating a Reviewer Checklist and a prototype AI assistant that demonstrate how analytical rigor and technology can advance FDA’s public health mission. This experience
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research, and a passion to pursue fundamental questions in basic neuroscience or technology development using cellular, animal, human, and/or computational models. We especially encourage applications from
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance