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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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multimodal datasets including neuroimaging, behavioral, wearable, clinical, and longitudinal data • Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience data
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childbirth and related conditions), disability, genetic information, status as a U.S. Veteran, service in the U.S. military, sexual orientation, or associational preferences. Education Requirement: A PhD in
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; and be central to demonstrating that autonomous materials discovery can produce real improvements in photovoltaic performance and stability. The full job description is available, here: https
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics
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on postdoc’s progress. Appointment may be continued thereafter depending on funding. For more information on the Fehr Lab please visit: www.fehrlab.com or https://molecularbiosciences.ku.edu/tony-fehr . Job
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. Ongoing projects the Postdoctoral Associate could support include: JUNTOS: This R34 funded study requires data cleaning and analytic support. The project involved a pilot RCT with HIV test counselors and
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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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nonlinear and non-Gaussian estimation techniques and data assimilation. Familiarity with hypersonic systems, GNC, or aerospace autonomy. Nonlinear/non-Gaussian estimation, MTT, PHD filters. Deep understanding