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bacterial genetic tools and assessing pathogenicity using in vitro, ex vivo, and in vivo infection models. Experience in molecular biology techniques, such as ELISA, PCR, microarray, and western blot analysis
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bacterial genetic tools and assessing pathogenicity using in vitro, ex vivo, and in vivo infection models. Experience in molecular biology techniques, such as ELISA, PCR, microarray, and western blot analysis
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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: Experience in the analysis of protein, RNA and DNA, immunostaining and confocal imaging. Brief Description of Duties: The Postdoctoral Associate will work in the lab of one of the Principal Investigators in
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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of the appointment. Extensive experience in High Energy Physics data analysis. Preferred Qualifications: Experience with long-baseline neutrino oscillations experiments. Good knowledge of either
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-on experience with proteomics sample preparation and liquid chromatography tandem mass spectrometry (LC-MS/MS). Experience with proteomics data analysis. Proficient in western blotting analysis and the enrichment
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-on experience with proteomics sample preparation and liquid chromatography tandem mass spectrometry (LC-MS/MS). Experience with proteomics data analysis. Proficient in western blotting analysis and the enrichment
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of the appointment. Extensive experience in High Energy Physics data analysis. Preferred Qualifications: Experience with long-baseline neutrino oscillations experiments. Good knowledge of either
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of the appointment. Extensive experience in High Energy Physics data analysis. Preferred Qualifications: Experience with long-baseline neutrino oscillations experiments. Good knowledge of either