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including issues preferably related but not limited to the use of automation, decision theory, organizational theory and/or workforce social questions. - Experience in data science and working with large
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specialization in Data Science/Applied Econometrics and its application in applied economics and social sciences broadly defined. The position is one-year, 12-month, calendar-year appointment, with the possibility
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test-track experiments using a single next-generation heavy vehicle to large naturalistic studies involving hundreds of vehicles on live roadways. The research often features data acquisition systems
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several areas of ongoing research in the laboratory, including the isolation and genomic analysis of large DNA viruses, cultivation of diverse hosts, analysis of evolutionary relationships and genomic
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collaboratively in multidisciplinary teams to improve transportation safety through cutting edge research. Research projects range from collecting and analyzing crash data to large-scale simulator experiments
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techniques and conducting research and publishing results in an ethical manner. Research projects range from driving simulator and test track experiments using a single vehicle to large-scale naturalistic
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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deploying large-scale genetic, biologic, peptide, and small molecule approaches to define domains and specific molecular mechanisms that can be exploited for therapeutic development against emerging cancer
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vector (AAV, Lentivirus) preparation. • Maintain detailed, accurate experimental records in compliance with IBC and IACUC protocols. • Contribute to research team meetings, problem-solving, and data