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Field
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of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides
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Posting Details Position Information Job Title Postdoctoral Research Associate Position Number 977343 Department Engineering Salary $65,000 Remote No Job Summary/Description The Material Assessment
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bioreactors. Responsibilities include downstream recovery (protein/lipid/metabolites), analytical characterization (HPLC/GC, metabolomics as needed), data analysis/modeling, and rigorous documentation for TEA
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working with Dr. Chen in regard to other projects. 15%: You will also be expected to assist with research grant submissions. Detailed documentation of analytical procedures and data is expected. You are
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. The project has been ongoing since 2010 and has served over 10,000 couples. The Fellow will fill two primary responsibilities: 1) Research publication and grant writing as well as 2) Project management. Data
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integration of analytical and computational methods. The work will be conducted in a collaborative environment, with interactions and collaborations with researchers at Brown University and Vanderbilt
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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of such MPAs. We anticipate that this work will also translate into analytical tools to support the planning of new MPAs under the High Seas Treaty (Biodiversity Beyond National Jurisdiction Agreement) and
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to daily lab operations. Knowledge, Skills & Abilities: Excellent laboratory and analytical skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and