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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a related field. Extensive experience
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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/Master’s and PhD in Chemistry preferred Optional Bachelor’s/Master’s and PhD in related disciplines such as Materials Science Background in analytical chemistry, battery research, and/or electrochemistry
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communication, an ability to work both independently and in teams, and a track record of publications Special Instructions Contact Information Michael McWilliams, MD, PhD Contact Email mcwilliams
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" section. Apply here: https://eratosthenes.peopleforce.io/careers/v/178456-post-doctoral-research-fellow-at-the-big-earth-data-analytics-department If you have previously applied for any position
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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ExperienceNone Additional Information Eligibility criteria PhD in Mathematics Candidates should preferably have expertise in one of the following areas: Mean value of arithmetic functions Size of sums