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, prepare data for computer input, input data into database, and record computer output. Maintain and operate laboratory and experimental equipment such as microtomes, microscopes, spectrophotometers
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on topics including molecular clouds and star formation. Candidates with experience in machine-learning and magnetic field observation/simulation are particularly welcome to apply. Experiences with (sub-)mm
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, geospatial analysis and machine learning techniques. The project relies on effective reporting of statistical analysis. The candidate will assist in building tools and writing reports from
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skills in natural language processing, dynamic systems modelling, machine learning, and data science of “big data” are also strengths for the datasets with which the postdoctoral fellow will be working
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room will be located in the Electrical & Computer Engineering building, while the digital twin will be a virtual recreation of the clean room (in virtual reality). The project should help provide
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Department Sch Geography, Dev & Environ Department Website Link Location Main Campus Address Tucson, AZ USA Position Highlights We seek a post-doctoral researcher to support machine learning for flood
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researchers by performing plate assays. Knowledge, Skills, and Abilities: Excellent computer skills (MS Office Suite, Windows, Internet) Ability to communicate effectively with different groups/individuals
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and work experience. Bachelor's degree in Chemistry or Physics or equivalent advanced learning attained through professional level experience required. Preferred Qualifications PhD degree in Chemistry
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currently accepting postdoctoral scholars include: Dr. Elise Erickson. Applicants are encouraged to visit the faculty interests and expertise page to learn more about individual faculty research programs
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, and service. Your work will focus on problems in controls, machine learning, image reconstruction, wavefront sensing, and instrument development and test. As time permits, you will be encouraged