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Description This Postdoctoral Scientist role is designed as a training opportunity for those who have recently completed their PhD or doctoral degree. To ensure we provide the intended mentorship and career
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’ experience working with big data or omics data. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. Familiar with Python, Matlab, and R computing languages. 1
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automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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treatment, as well as a tool for modeling these diseases in vitro. Clive Svendsen, PhD, has significant experience in studying these diseases over the last twenty years and is merging his experience with
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Scientist will perform routine and complex mathematical modeling, machine learning, AI, computational, and statistical procedures to answer a variety of questions focused on direct clinical applications
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routine and complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools