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the Department of Molecular Medicine and Therapeutics at The Ohio State University College of Medicine. Our laboratory develops nanotechnology-based platforms for therapeutic delivery, immune modulation, and
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preference for experience in Stata, R, and Python. Responsibilities 1. Conduct data analysis and analytical models 2. Prepare and manage data 3. Conduct literature review 4. Assist PI and other staff
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predict cancer progression. We use a combination of experimental and clinical data paired with computational analyses to model tumor evolution. We seek a postdoctoral candidate who will apply a combination
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-based cancer research. We apply those discoveries to develop more effective approaches to cancer prevention, diagnosis, and therapies – providing tomorrow’s standard of care today. A Cancer-Free World
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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also be responsible for assisting in teaching and mentoring trainees, and disseminating the lab’s research findings. Performance Objectives Develop and complete research projects leveraging data from
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to increase the reach of clinical and translational data science (CTDS) education and training across the Ohio State campus and to recruit and develop a cohort of trainees to become the next generation of
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to increase the reach of clinical and translational data science (CTDS) education and training across the Ohio State campus and to recruit and develop a cohort of trainees to become the next generation of
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model