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various functions including satellite telemetry, GPS/Iridium geolocation, scientific sensor operation, and autonomous instrument control in challenging marine environments. Responsibilities will include
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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
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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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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
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on bitbucket and oversees the revision of the code to integrate with other algorithms. Trains on and oversees the formatting and cleaning of the data to make it publicly available according to the requirements
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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