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Field
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demonstrated ability to learn new skills and work cooperatively on a team, and mechanical aptitude to diagnose and fix broken things. Job Duties (75%) Field sampling and travel. Technicians will document fish
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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skills to interact effectively with faculty, academics, students, military, and civilian personnel of a variety of backgrounds. Ability to develop and maintain strategic relationships and partnerships with
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to support a diverse and inclusive university in which to work, study, teach, research and serve. No person shall be denied employment on the basis of any legally protected status or subjected to prohibited
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academic and professional goals. You will also engage in activities and research in several areas. Unique learning opportunities of this Graduate Fellowship may include, but are not limited to: New proteomic
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., regression, classification, and clustering methods) and machine learning experiments using R/Python programming Support the documentation of research methodologies and findings in collaboration with faculty
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off Paid Holidays All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders
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to accomplish tasks Ability to communicate with various ages and learning levels Additional Information: Graduate students are subjected to background checks. Salary Information: $20.00 per hour Required
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applicable public health and safety procedures. This position is a hybrid of remote and in-person work, located on the campus of UMN Medical School Duluth, with workstation, landline telephone and computer to
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Demonstrate proficiency using computer applications, online resources, and other technologies for the classroom. Demonstrate proficiency using an online learning management system such as Canvas or Blackboard