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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
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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with computational scientists to integrate and interpret large-scale genomics data. Present research findings in lab meetings, departmental seminars, and conferences; prepare manuscripts and fellowships
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Leinweber Institute for Theoretical Physics (LITP). Potential research topics include: inflationary cosmology and its connection to late-time observables; large-scale structure theory and analysis; cosmic
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for longitudinal data analysis or large language models. Strong motivation in the development and application of digital twins, particularly in health and biomedical contexts. Strong computer programming skills
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Pharmacology, the Clinical and Translational Science Institute and the McKnight Brain Institute, all of which provide state-of-the-art environments and large data sets access. Expected Salary: $62,232 annually
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scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key
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materials. The role also involves maintaining confidential filing systems, performing data entry, preparing correspondence, answering phone calls, and handling faxing, photocopying, and scanning. Additional
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materials. The role also involves maintaining confidential filing systems, performing data entry, preparing correspondence, answering phone calls, and handling faxing, photocopying, and scanning. Additional
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at the field, drone, and satellite scale. Big data analysis including processing and analyzing EMIT hyperspectral datacubes over large spatial domains such as the Colorado Plateau and even global. Presenting