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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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with neuroimaging research projects. The individual will be tasked to design, test, and evaluate methods and protocols for processing and analyzing neuroimage data, including structural CT/MRI, resting
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: 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 gain
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experience in the Linux operating system, open-source codes, GitHub, and parallel processing. Equipment Utilized Physical Demands and Work Environment Overview Subject Areas: Multi-Physics Modeling, Structures
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operating system, open-source codes, GitHub, and parallel processing. Equipment Utilized Physical Demands and Work Environment Overview Subject Areas: Multi-Physics Modeling, Structures, System Dynamics
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preferred. Basic knowledge of bioinformatics processes for genomic and transcriptomic research is also preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting
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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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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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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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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