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Field
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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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stress with secondary metabolites to develop climate-resilient vegetables, specifically tomatoes. Knowledge in linking bioactives, whole food, and microbiota. Ability to interpret analytical data from LC
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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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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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Details Title Postdoctoral Specialist – Health Policy Analytics School Harvard Medical School Department/Area Department of Health Care Policy Position Description Overview: The Department of Health
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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Classification Title: Post-Doctoral Associate in Analytical Chemistry Classification Minimum Requirements: Ph.D. in Chemistry or a closely related field. Job Description: A Post-doctoral Associate
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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manipulations. Assay Development: Support the development of cellular and biochemical assays to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro