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the development, calibration, evaluation, and peer-reviewed reporting of several large, complex agent-based models. The selected individual will provide modeling oversight and review of progress on several
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therapeutic and diagnostic approaches. The understanding, prediction, and reprogramming of pathways and cell interactions will require chemical, physical, and computational tools, and the modeling of synthetic
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for several public health research projects. They will also design and implement software to generate accurate data analysis and reports from the output of the simulation models, develop software tools
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able to lead and develop new therapeutic and diagnostic approaches. The understanding, prediction, and reprogramming of pathways and cell interactions will require chemical, physical, and computational
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at the development and application of computational models, methods and tools to study biological systems behavior. Our department is dedicated to providing cutting-edge research experiences and training to students
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and regenerative medicine. We are seeking candidates who can expand our research program to include the application of knowledge from these different areas for better understanding of musculoskeletal
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transformation logic. Support strategic initiatives, ad hoc data requests and reporting needs from stakeholders with advanced data analysis and modeling. Physical Effort Light, Little physical effort. Duties
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research program in the laboratory of Dr. Jishnu Das. The Das lab research focus is on the development and use of novel systems approaches to analyze high-dimensional immunological datasets, and elucidate
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or Ph.D. in Computer Science & Engineering with at least ten years of experience as an applied epidemiologist in the public or private sector. - Research experience in agent-based models (ABMs) as
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understanding of business process modeling and optimization techniques is preferred. Excellent written and verbal communication skills are key for a successful candidate. They will be required to work well with