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languages is preferred. Experience handling large next-gen sequence datasets is preferred. A demonstrated ability to publish original research in peer-reviewed journals is preferred. About the Department We
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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expertise in T cell and dendritic cell biology • Extensive hands-on experience with mouse models of infection, inflammation, and immune memory • Proficient in flow cytometry, including high-dimensional and
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experimental issues. Experience with automated liquid handling systems for NGS library preparation. Familiarity with flow cytometry. Prior experience collaborating with bioinformaticians. Excellent communication
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backgrounds and experience identifying and eliminating systemic barriers to academic success. Because the SPH and the Division seek to increase the diversity of its faculty and staff, we particularly encourage
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, infants with agenesis of the corpus callosum, and (coming soon) infants with Down syndrome. These data sets are rich and ready for data analyses. The ideal candidate will have experience analyzing MRI data
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processes to ensure bioburden reduction and then developing robust assays and quality controls to measure and verify the process met its intent. You are expected to perform high level experimental and
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Duties/Responsibilities: 80% Experimental Research • Development, design, and implementation of experiments related to ongoing projects in the laboratory • Data Analysis and determination of next steps
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of experience in both aquatic ecology and microbial biogeochemistry. This position will provide robust training in data collection and analyses, in addition to manuscript preparation; guidance in career
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composition, food intake and preference measurements, and cognitive and anxiety/addiction potency testing. • Inject various compounds and solutions into experimental animals. • Assist with and eventually