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computer software programs for data analysis. 6. Performs general housekeeping of laboratory, and operation of laboratory equipment such as centrifuges, meters, microscopes, incubators, autoclaves, and
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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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workload and ensure confidentiality Ability to use a personal computer and other standard office and lab equipment Ability to answer incoming calls and take appropriate and detailed messages
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Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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. Additionally, student will help with data handling and analysis. Requirements: Proficient in Microsoft office products and overall computer usage. Additional Information: Physical Demands Summary: Wage Rate: $15
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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quantitative analyses of data using computer software as applicable Verify the accuracy and validity of data entered in databases including correcting any errors Prepare tables, graphs, fact sheets, and written
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) Time Type: Full time Rate Type: Hourly Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
related field and have a strong background in fMRI data analytic techniques. Computational and quantitative skills are highly desirable. While there will be opportunities for data collection and assessment