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Computer Science, Biomedical Engineering, Pathology Informatics, or a related field, with emphasis on computer vision and machine learning (summer and fall graduates are also welcome to apply) Proficiency in
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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to enable higher performance Learns fast, grasps the "essence" and can change course quickly where indicated Raises the bar and is never satisfied with the status quo Creates a learning environment; open to
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AI to predict safety outcomes for multiple targets and combination therapies Collaborate with research teams and data scientists to design data-driven strategies using machine learning/AI methods
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course quickly where indicated. Raises the bar and is never satisfied with the status quo. Creates a learning environment; open to suggestions and experimentation for improvement. Embraces the ideas
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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can change course quickly where indicated Raises the bar and is never satisfied with the status quo Creates a learning environment; open to suggestions and experimentation for improvement Embraces
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satisfied with the status quo. Creates a learning environment; open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation, and manages to reality. Candidates
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performance. Learns fast, grasps the "essence" and can change course quickly where indicated Raises the bar and is never satisfied with the status quo. Creates a learning environment; open to suggestions and
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never satisfied with the status quo. Creates a learning environment; open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation, and manages to reality