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community of atmospheric chemists at MIT. The work will focus on interpretation of AGAGE observations of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs) using models, measurements and
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neutrino mass ordering, measure the CP-violating phase, and perform high-precision measurements of the neutrino oscillation parameters to probe the existence of physics beyond the Standard Model The 17-kton
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, TESS, and PLATO observations Measure how the strength and frequency of planet-induced flaring change as systems age Develop a forward model of the magnetic feedback loop between planet and star
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physics or other large-scale scientific/detector data. Experience with neuroimaging data and standard preprocessing tools. Familiarity with foundation models, transfer learning, self-supervised learning
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standard processing software. Analytical and modelling skills with R or Python; experience building automated, reproducible data pipelines. Excellent scientific communication and interpersonal skills
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. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits
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) Generate a web-friendly simulator of the validated regulatory model, by using SBML standard (RP2) Exploit the multiscale model to interpret the impact of synovitis on the articular cartilage, in the lights
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investigating disease mechanisms and the effects of novel therapeutic compounds using human induced pluripotent stem cell (iPSC)-derived neuronal models. The post holder will be responsible for planning and
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are seeking a Research Scientist specializing in Machine Learning, Data Science, Data Harmonization, and Synthetic Data Generation to lead the integration, standardization, and privacy-preserving algorithmic
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About the Opportunity Job Summary: Northeastern University’s Office of the Registrar operates a federated network service model that serves 66,000 students - degree, non-degree, and continuing