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that compares complex patterns of information processing across biological and artificial minds, and uses insights from the study of natural minds to develop new computational capacities in artificial minds
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management procedures Demonstrated computer proficiency (word processing, spreadsheet, and database systems) Familiarity with UM policies, procedures, and organizational structure Modes of Work Positions that
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Apply Now How to Apply To apply, in addition to your application on the careers.umich.edu website, please email the following to drmalik@umich.edu with the subject line: RA -Neurosymbolic Web Filtering (SMILES Lab) Resume or CV Links to relevant code repositories, projects, or previous...
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astronomy/astrophysics 3. To be appointed as a GSI or GSSA, a graduate student must be in good standing in their degree program and for Terms I and II, must be registered for not less than six (6) credit
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their degree program and for Terms I and II, must be registered for not less than six (6) credit hours. With written approval of the student's faculty advisor, five (5) credit hours may be acceptable. Desired
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of Michigan (for Fall 2025) 2. Completed courses or have experience in astronomy/astrophysics 3. To be appointed as a GSI or GSSA, a graduate student must be in good standing in their degree program and for
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in good standing in their degree program and for Terms I and II, must be registered for not less than six (6) credit hours. With written approval of the student's faculty advisor, five (5) credit hours
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GSI or GSSA, a graduate student must be in good standing in their degree program and for Terms I and II, must be registered for not less than six (6) credit hours. With written approval of the student's
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(for Fall 2025) 2. Completed courses or have experience in astronomy/astrophysics 3. To be appointed as a GSI or GSSA, a graduate student must be in good standing in their degree program and for Terms I and
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Specialist Associate to provide support for the conduct of the Intern Health Study, a national NIH-funded longitudinal cohort study that assesses genetic, mobile technology, and program factors involved in