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studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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including (but not limited to): Design, deploy, and maintain environmental sensor stations, including quarterly travel for installation and servicing to flood prone regions in Illinois and Mississippi. Apply
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utility for ongoing analysis. Understand key data sources and variations in these across and within countries. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and
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and within countries. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. Review, assess and improve results, methods and
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sensors. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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global medical challenges. A postdoctoral position is available immediately for applicants interested in developing novel wearable optical sensors for applications in maternal health. The goals
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of the two cables, conventional multiplexed DAS on the first span, and contemporaneous recordings from a rich suite of oceanographic, seismic, and acoustic sensors on the OOI RCA. Potential areas
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or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
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data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and