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are seeking a postdoctoral fellow with a background in occupational health and well-being, with strong experience in quantitative research, data management, data analysis, and writing for publications
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, topology, operator algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and
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. Purify materials employing ion-exchange resins or similar separation protocols. Analyze molecules/polymers using standard characterization tools (e.g. NMR, IR, MS, etc.) Analyze complex mixtures
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mission to achieve a predictive understanding of complex biological, Earth, and environmental systems in support of the nation’s energy and infrastructure security. Through world-class capabilities in
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understanding of complex biological, Earth, and environmental systems in support of the nation's energy and infrastructure security. Through world-class capabilities in genome sequencing, synthesis
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collection and analysis for feedback into experimental design. This work will support initiatives within the Agile BioFoundry, the Joint BioEnergy Institute, and/or other programs. This position has
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. Person Specification First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 8 days ago
, sensitivity analysis, and assessment of model credibility. Computational characterization of pharmaceutical products using physicochemical, structural, formulation, manufacturing, and performance-related data
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cohorts and Trusted Research Environments. This will include contributing to trial design, protocol development, statistical analysis plans, regulatory interactions, funding applications, commercial
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involving human subjects. PREFERRED QUALIFICATIONS Expertise in molecular science. Experience with longitudinal data analysis and complex survey design. Knowledge of cardiovascular and kidney diseases and