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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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analysis, and microbial cultivation. Experience with anaerobic microbiology and animal handling is a plus, though not required. Knowledge of bioinformatics is highly advantageous, but not mandatory
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bioinformatics, with interest in applying computational methods in the context of all areas of biomedical research. The position will be supported by a competitive start up package with exceptional candidates
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molecular biology, bioinformatics, and translational research. The Research Assistant will be involved in independent and collaborative projects, integrating experimental and computational approaches
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bioinformatics processes for genomic and transcriptomic research is preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking, and hearing
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are the following: Aid with research in publication editing, bioinformatics analysis, imaging analysis, histology. Ensures that glassware and equipment are kept clean and are properly stored. Prepares stock solutions
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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 suppressor p53 and its
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to long- and short-read metabarcoding, bioinformatics, qPCR or dPCR, primer and probe design, and gene cloning as well as work outdoors to apply treatments to field plots and collect samples for laboratory
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the key duties 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
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ongoing research projects, including but not limited to mouse studies, Western blotting, and immunohistochemistry. Assists with and performs bioinformatics analyses of high-throughput sequencing data