334 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at The University of Chicago in United States
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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(GME) training programs, as well as other National Institutes of Health T32 training programs and associated graduate programs. The appointee will partner with MCB and GME faculty to develop and co-teach
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teach courses in the Master of Science in Biomedical Informatics (https://bmi.bsd.uchicago.edu ) program. These positions are renewable. Compensation is dependent on qualifications. These positions
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creative agenda, teach two courses per year, and participate in the program’s student and public programming. Engagement with advising and other program service is also expected. The initial term
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. The Fellow will be expected to teach a section of an experiential skills course in Contract Drafting three times per year, once each quarter (Autumn, Winter, and Spring). The course is an introduction to legal
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the effectiveness of the public sector and achieve impact at scale. To learn more about the Crime Lab and Education Lab, visit https://crimelab.uchicago.edu/ https://educationlab.uchicago.edu/ Job Information Job
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law. Technical Knowledge or Skills: Access computer programs and use or learn basic computer operations related to position requirements. Read and interpret documents. Communicate effectively in English
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the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
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lecturers to develop and teach courses in the Master of Science in Threat and Response Management program (https://threatresponse.bsd.uchicago.edu/ ). These positions are renewable for up to three year terms
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for 10-12 weeks. Responsibilities: Collect and organize different datasets. Derive summary statistics of those datasets. Help with the implementation of machine learning models. Conduct literature