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Field
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the diagnosis and long-term monitoring of patients with Multiple Sclerosis (MS). This project follows a cohort of patients with MS with a dataset of measures at regular intervals including traditional clinical
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, SAS, R, Python); Demonstrated experience conducting complex compensation modeling, benchmarking, and regulatory compliance reviews; Proven ability to interpret and apply federal and state compensation
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and reports to multiple constituencies, both internal and external to the university, including state, federal, and accrediting agencies. Develops, implements and administers surveys; collects survey
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staff, graduate students, and postdocs as needed Perform other duties as assigned Knowledge, Skills, Abilities & Work Characteristics Proficiency in Python, R, and Bash scripting for bioinformatics
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and TypeScript / JavaScript, although development of established applications and extensions of third-party products may include the use of Python, Rust and other languages. Process automation and one
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projects The ability to carry out and publish high-quality research Knowledge on ROS, Python, C++ and Matlab The following qualifications will be considered an advantage when applicants are ranked: Practical
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on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social
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effects, compound hazards, and systemic interdependencies, adapting to evolving EU design codes. More specific goals are to: re-view existing hazard methods and codes for single and multiple hazards (e.g
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physics, and quantum error mitigation. Good programming skills in Python. Familiarity with PyTorch or tensorflow will be a bonus. Proficiency of programming skill with quantum machine learning architectures
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, SAS, R, Python); Demonstrated experience conducting complex compensation modeling, benchmarking, and regulatory compliance reviews; Proven ability to interpret and apply federal and state compensation