773 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at The University of Chicago
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Sciences Division at the University of Chicago Medicine. CCHE aims to eliminate all new HIV transmission events by 2041. The University of Chicago's position on the South Side makes it uniquely situated
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Department BSD MED - Infectious Diseases - Chicago Center HIV Elimination - Testing About the Department The Chicago Center for HIV Elimination (CCHE), is situated within the Biological Sciences
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disseminates departmental information and reports. Creates, writes, edits and posts articles, news, and program summaries to website or social media platforms. Participates in the administrative aspects
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Membership program activities, communications and activity calendars – including regular renewal cycles, Membership records and accounts, and produces recurring communications to Breasted Society members
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proteomics, metabolomics, biochemistry, and molecular and cellular biology. Technical Knowledge or Skills: Knowledge of basic computer proficiency including computer programs and standard laboratory equipment
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of specific international markets. Working Conditions Some domestic and international travel. Extended periods of time at a computer. Must be able to lift boxes of books. Application Documents Resume (required
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, manages departmental resources, and supports capital planning. This role also oversees our departmental programming and the majority of our student employment program, which includes the student-run coffee
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Department BSD MED - Infectious Diseases - Chicago Center HIV Elimination - Health Care About the Department The Chicago Center for HIV Elimination (CCHE), is situated within the Biological Sciences
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< 2 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor's degree in biology, medical laboratory science, medical technology, molecular
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computer science, computer engineering, data science, or similar. Technical Skills or Knowledge: Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras