766 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at The University of Chicago
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or Knowledge: Computer skills including word processing, database management, and spreadsheet skills. Knowledge of federal and non-federal grant and contract policies. Knowledge of research methods and funding
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responsive engagement. Technical Skills or Knowledge: Knowledge of TCOM framework and tools strongly preferred. Bilingual English/Spanish. Proficiency in Microsoft Office 365, learning management systems (LMS
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, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected
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, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a
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Endnote and online survey tools. Strong computer skills including calendaring, document management (e.g., Dropbox, Box, etc.), database management, and spreadsheet skills. Familiarity with report writing
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priorities; recognize and resolve or refer problems; work effectively with supervision and as a part of a team; use or learn a range of position-related software applications. Additional Responsibilities
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https
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checks on functionality of the machines, computer maintenance and updates, and interfacing with Zeiss service agents. Trains new confocal microscope users and consults with more experienced users as needed
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or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please
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education advancement. Technical Skills or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available