25 finite-element-analysis Postdoctoral positions at Duke University in United States
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policy, urban planning, data science, environmental science, or a related field. • Strong quantitative skills in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium
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and immunoprecipitations RT-PCR and RNA analyses Cell transfections and selections RNA-seq and sequencing data analysis RNA modification profiling Lead one or more research projects investigating RNA
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis, manuscript preparation, and
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Bioinformatics expertise required for scRNAseq analysis. · Previous cell culture experience. · Perform molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental
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for the synthesis of lead compounds. • Perform detailed analysis and characterization of synthesized compounds using advanced techniques such as NMR, MS, and HPLC. • Collaborate closely with cross-functional teams
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
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candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass spectrometry-based proteomic data generated in our
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, fluorescence and confocal microscopes. Analyze images using image analysis software, obtain data for publication. · Prepare protein for western blots and analyze data. · Design and perform molecular assays
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis