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. This position will report to Dr. Reinhard Laubenbacher in the Laboratory for Systems Medicine. The Laboratory for Systems Medicine strives to improve human health via the development of mathematical algorithms
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and health care operation pathways. The position will participate in designing and developing algorithms to model complex systems, meeting with end-users and key stakeholders to understand operational
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, engineers, and clinicians to develop cutting-edge neuromodulation techniques. The Medical Scientist will perform work central to support new projects in the lab, collecting data, and developing data analysis
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of Pharmacy's Medicinal Chemistry department. Job Description: Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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. This position will report to Dr. Reinhard Laubenbacher in the Laboratory for Systems Medicine. The Laboratory for Systems Medicine strives to improve human health via the development of mathematical algorithms