375 parallel-processing-bioinformatics positions at The University of Arizona in United-States
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the smooth operation of research activities in Dr. Bibb's lab. Data Collection and Analysis: Aids Dr. Bibb and his team in basic bioinformatics data collection and analysis to support to the overall study
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techniques and high resolution imaging, perform in vitro functional analyses including patch-clamp and calcium measurements. Perform small animal surgery and in vivo phenotyping analyses. Develop and maintain
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-rounded, motivated and enthusiastic individual with prior experience in RNA sequencing, bioinformatic analysis, blood biomarkers, while working in various databases (R, Python) and performing statistical
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the ordering and replenishing of lab supplies to ensure the smooth operation of research activities in Dr.Yamoah's lab. Data Collection and Analysis: Aids Dr. Yamoah and his team in basic bioinformatics data
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operation of research activities in Dr. Lee's lab. Data Collection and Analysis: Aids Dr. Lee and his team in basic bioinformatics data collection and analysis to support to the overall study objectives and
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organizational skills. Proficient user of Microsoft Office Suite. Skills and ability to perform bioinformatic analysis of transcriptomic data. Skills and ability to perform metabolic analysis (e.g. Seahorse
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small animal surgery and in vivo phenotyping analyses. Develop and maintain detailed records of experiments, analyzing and writing findings. Present results at laboratory meetings and conferences. Prepare
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computational data analysis, bioinformatics or AI/ML is a plus. Demonstration of problem-solving skills and capability to overcome complex issues. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked
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such as DNA/RNA extraction, PCR and sequencing. In addition, the candidate is expected to aid in basic data analysis and have an interest in basic bioinformatic techniques. This individual should be
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expertise encompasses cellular, molecular, and developmental biology, as well as anatomy and genetics. The department focuses on imaging, bioinformatics, ‘omics’, stem cells, and systems genetics, and is