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Field
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frameworks. L–H/H–L transition physics, pedestal evolution, or core-edge coupling. Analysis and validation using experimental data from tokamak facilities. Machine learning, scientific AI, neural-network
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safety, vulnerable road users, and rural and Tribal transportation contexts. The postdoctoral researcher will integrate research involving human participants, behavioral analysis, and computational methods
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Position Title: Postdoctoral Research Associate in Bioinformatics and Multi-Omics Analysis Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and
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reduction, clustering, penalized regression, multiple-testing correction, pathway analysis, network analysis, or multiomics integration Experience with longitudinal cohort studies, pregnancy or birth cohorts
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encoded Ca²⁺ indicators, electrophysiology, molecular biology, optogenetics/chemogenetics, and transgenic mouse models to understand how cellular signaling networks coordinate normal gut motility and
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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basic functional circuit dissection in animals to human clinical studies, we ask how network disruptions cause cognitive deficits in neuropsychiatric disorders like schizophrenia. In addition to making