67 parallel-processing-bioinformatics-"DIFFER" Postdoctoral positions at Rutgers University
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., oxidoreductases). It is expected that the Postdoctoral Associate will have expertise in several of the following areas including bioinformatics, bioinorganic chemistry, structural biology, microbial genomics
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of differing background aerosol composition and to relate these distributions to in-cloud turbulence and cloud brightening. The Doppler lidars at the pier and on Mt. Soledad characterized sub cloud TKE profiles
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope alignments, data acquisition, image processing and structure calculation using
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position in these research areas. The successful candidate will report to Prof. Hao Wang and Prof. Nenad Gucunski at CAIT and will work independently associated with different projects related to non
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University is the largest academic unit of the University and is comprised of 41 academic departments spanning humanities, social, physical and life sciences and over 100 different majors, plus programs
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of differing background aerosol composition and to relate these distributions to in-cloud turbulence and cloud brightening. The Doppler lidars at the pier and on Mt. Soledad characterized sub cloud TKE profiles
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sequencing and bioinformatics. Keeps up-to-date with technical and theoretical knowledge related to the projects. Generates, compiles and presents experimental data with appropriate conclusions
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory
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stratification, hierarchy, inequality, biopolitical power and visual appearance? How are these relations grounded in markers of social difference—race, ethnicity, religion, nationality, gender, class, age