364 postdoc-in-postdoc-in-automation-and-control-"Multiple" positions at University of Minnesota
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Direct Digital Control (DDC), Heating, Ventilation, Air Conditioning and Refrigeration (HVAC&R), Building Automation and electro-mechanical systems. The position tests, maintains, calibrates, repairs, and
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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multiple opportunities to train graduate and undergraduate students, collaborate with other labs testing our GEVIs, and compete for early career fellowships. Consideration will also be given to exceptional
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robust geospatial software tools for automated processing of satellite imagery and other remote sensing data. This includes implementing algorithms for geometric corrections, radiometric calibrations, and
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presentation at local and national meetings. ● 10% Training and mentoring of students → The postdoc will work with undergraduate and graduate students in the lab and is expected to foster the development
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Pay Range: $62,232 - $65,000: Pay is determined by NIH Postdoc levels of education and experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit
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protocol and study specific procedures are completed. Effectively work independently in multiple locations with hospital and clinic staff to complete research related tasks. Collect data and conduct
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work of graduate students and postdoctoral fellows. Mentor and supervise junior researchers (e.g., graduate assistants, postdocs), ensuring scientific rigor and professional development. Lead cross
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necessary registrations. • Manage study data collection and entry; collect enrollment and treatment data. • Coordinate/conduct quality control checks as related to study conduct. • Direct study close-out
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ticket queue and monitoring the Data Infrastructure ecosystem as well as efforts to modernize our operations. These efforts include leveraging automation, infrastructure-as-code (IaC), and machine learning