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key findings using banked patient samples. This opportunity requires the ability to visit St. Louis for potential interviews. Job Description Primary Duties & Responsibilities: Information on being a
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experience with traffic camera video analytics, LiDAR, V2X/connected vehicle data, or micromobility (scooter/bike) telemetry. · Experience deploying edge AI, federated learning, or privacy-preserving
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Conducts
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4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website
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implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
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-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly
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recordings and infant MEG data) as well as assisting in manuscript preparation and result dissemination. Additional opportunities exist in participating in development and coordination of new research studies
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working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches. Familiarity with interrogation
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will require knowledge and experience with immunotherapies, peptides, chemical and biochemical analysis, and cancer models. Project work will involve peptides, formulation, analytical techniques, and use