27 finite-element-analysis Postdoctoral positions at Duke University in United States
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, we found that GAA deficiency in PD resulted in engorged lysosomes which significantly disrupted AT1 and AT2 cellular architecture. Lysosomes are an essential component of autophagy which is important
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projects must include a collaborative element that engages students, faculty, or the wider community. Completed projects will be presented to the seminar, and made accessible to the wider community. Please
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year. The anticipated starting date is August 2026. Overview. The postdoctoral associate is expected to engage in research at the interface of mathematics, data analysis, and life sciences. Possible
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software projects Desired Qualifications: ● Experience working with large survey data (e.g., LSST, DES, HSC, Euclid, Roman) ● Knowledge of image simulation frameworks and pixel-level analysis techniques
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processes 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
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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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candidate will have experience or basic understanding of several of the following areas: high-dimensional data analysis, genome-scale analysis, analysis of genetic data, epidemiology, translational research
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responsible for: 1) designing and conducting laboratory work using molecular biology and functional genomic approaches, 2) analysis of new and previously published data, and 3) preparation of results
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principle not be enough for this position. Fluency in data analysis in R, and strong experimental skills are essential. Experience with field observational studies, handling or large datasets and mathematical
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directions that can seed future independent positions. Work Performed Depending on candidate interests and expertise, projects may involve: Analysis of global dietary patterns using genomic approaches