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• Prior collaboration with city/MPO/state transportation agencies • Experience communicating modeling results to non-technical practitioners • Familiarity with planning processes (TIP, MTP, NEPA, Vision
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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and personalized learning experiences Position Summary : This role is ideal for a highly motivated individual who thrives in dynamic environments and excels at translating vision into action. Working
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practitioners Familiarity with planning processes (TIP, MTP, NEPA, Vision Zero, etc.) Qualifications Required: Ph.D. in Civil/Transportation Engineering, Systems Engineering, Computer Science, Operations Research
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., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence. The Postdoctoral Associate will meet with the PI at least
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sciences, computer science, machine learning, and education research. Research Themes The research themes identified for the NTO postdoc include, but are not limited to, the following: Developing
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-generation sequencing data Programming skills (e.g., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput