22 finite-element-analysis Postdoctoral positions at Duke University in United States
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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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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
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; (ii) an impact evaluation of a large-scale tree-growing program in Kenya, Tanzania, Uganda, and India; and (iii) an analysis of financial incentives for smallholder tree growing in Ethiopia. In
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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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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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Qualifications: A PhD degree in a field related to exposure science, environmental health, or environmental chemistry; experienced in HPLC-MS analysis and other web lab skills; with publications showing analysis
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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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, 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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. Preferred Qualifications: Background in live imaging and image analysis in tissue or stem cell cultures. This position is onsite. The work is performed on-site or at a designated assignment location. Be Bold
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chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization