63 parallel-processing-bioinformatics Postdoctoral research jobs 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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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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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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- Prior experience in somatosensory research. - Familiarity with advanced imaging, electrophysiological techniques, and behavioral assay methodologies. - Proficiency in using bioinformatics tools
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for this position are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of 1) the regulation and function of tumor
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of Oceanography, and may also contribute to a separate project funded by the National Science Foundation that involves process mechanics in marine boundary layer clouds. The successful applicant must possess a Ph.D
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experience maintaining a mouse colony, as well as stereotactic surgery, brain dissection, immunofluorescence, fluorescence microscopy, and confocal microscopy. City: Piscataway State: NJ Location: Busch (RU
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materials processing and characterization, optimization of process yield and increasing process volume, and investigating the detailed mechanisms behind each process step. Percentage Of Time- 20% 2