12 phd-data-mining Postdoctoral positions at Massachusetts Institute of Technology in United-States
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the forward and inverse problems involved. Additional information about AGAGE, CS3, and MIT Atmospheric Chemistry, is available at https://agage.mit.edu, https://cs3.mit.edu, and https://rprinn.mit.edu. Job
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Requirements REQUIRED: PhD in Political Science, Environmental Science, Sociology, Anthropology, History, Economics, Psychology, Computer Science, and related fields earned after September 1, 2023; and
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combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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graduate and undergraduate students. Job Requirements REQUIRED: PhD in plasma physics, high energy physics, nuclear engineering, or a closely related field; experience with Monte Carlo charged particle
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. Job Requirements REQUIRED: PhD in Political Science, Environmental Science, Sociology, Anthropology, History, Economics, Psychology, Computer Science, and related fields earned after September 1, 2023
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 22 hours ago
publishing research findings. Additional experience with autonomous data collection systems (e.g., profiling floats), Lagrangian analysis, adjoint modeling, AI/ML techniques, and High-Performance Computing
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; expertise in construction materials science, industrial byproduct utilization, or technology adoption; strong quantitative skills and experience synthesizing technical and market data and material flow
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for Information and Decision Systems (LIDS) and the MIT Sloan School of Management in collaboration with The Social and Ethical Responsibilities of Computing (SERC) invite applications for a postdoctoral associate
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Posting Description POSTDOCTORAL ASSOCIATE, Laboratory for Information and Decision Systems (LIDS ) and Sloan School of Management in collaboration with The Social and Ethical Responsibilities
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Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers