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the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results
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driver's license is not required for this position. More About This Job Required Qualifications: PhD in immunology, molecular biology, microbiology, or a similar field. Have published one or more papers in
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what is stated in the Required Qualifications section. Skills: Computational Sciences, Computer Programming, Mathematics Questions For frequently asked questions about the application process, please
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for this position. More About This Job A strong theoretical and or computational background is preferred, but no prior expertise in biology is required. Applicants should hold (or expect to receive by the start date
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science, econometrics, and integrated assessment modeling to develop and implement a strategy for integrating health into the SSP narratives and quantifications. The ideal candidate is analytical, organized
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. Department of Labor prevailing wage determination. Qualifications Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field. Instructions Applicants should submit a
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technologies in genomics and computational biology to investigate the development and function of mammalian brains in the context of human health and disease. Current areas of interest include applying single
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Position Summary The Mass Spectrometry Technology Access Center (MTAC) at WashU Medicine, St. Louis, has an opening available for highly motivated applicant for the position of Postdoctoral Research
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associated with prevalent and incident cognitive impairment. The ideal candidate is driven, independent, and able to apply engineering and computational techniques to enhance the performance of existing
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. Techniques include flow cytometry, immune cell transfers, cloning and molecular biology, biochemistry, cell/tissue culture, fluorescence and confocal microscopy, and analysis of RNAseq or other data sets