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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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policies and budgetary control; represent leadership in meetings. Other Prepare statistical and financial data for senior management and external agencies. Prepare ad hoc analysis as needed. Choose Duke
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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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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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the Director of Duke’s Program in Education, teacher preparation program directors, and other Education faculty to evaluate and enhance current data collection and analysis systems. Ideal candidates will have
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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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experience, opportunities may include: robot programming, sequencing analysis, mammalian cell culture, and protein function assays. Qualifications: ● Current undergraduate student in bioengineering, chemical
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shoreline project and in analyzing data, to assess nursery habitat provisioning, augmented secondary production of valuable fishes and crustaceans, water quality improvements, shoreline protection, and carbon
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Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks - Executing experimental designs Data