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contribute to data analysis, conference presentations, and ongoing seminars and workshops, while working closely with Dr. Vujanovic and a multidisciplinary team to explore innovative research questions related
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 13 hours ago
into actionable information for management and decision purposes. Preferred Qualifications for the Ideal Applicant - high familiarity with one or more programming languages - being able to work on large, complex
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comfort and would be interested in a fixed term role to support a large project looking at developing outdoor thermal comfort models for children? If so, we would welcome your application to this full-time
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, management and analysis of large physiological, fMRI and behavioural data sets, using appropriate tools (R, Matlab, FSL, SPM) and advanced statistical techniques (e.g. linear mixed-effects models). The PDRA
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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. Responsibilities Data Analysis Performs hypothesis-driven computational research with a clear understanding and use of controls. Uses computational methods to analyze large-scale sequencing data and formulate
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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subject area for this position is medicine, specializing in computational metabolomics and exposomics, with primary focus on processing and analysis of metabolomics and exposomics data, covering both method
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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position