318 distributed-algorithm-"Prof" positions at University of Michigan in United States
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Distribution department Provides direct supervision of staff including interviewing, hiring, scheduling, training, orientation, evaluation, adherence to mandatory training requirements, delivery schedules
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. Race and Organizations (Prof. Davon Norris) This course introduces students to the array of ways in which race and racism influence organizational structures and how organizational processes then shape
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Apply Now Job Summary The Student Research Assistant will support a faculty-led research project examining how algorithmic bias affects social equity in areas such as healthcare, hiring, and
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, assignments and other tasks. The position is limited to 30 hours total and will be under the supervision of Prof. Antonios M. Koumpias. Required Qualifications* Preference for a student majoring in Economics
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Apply Now Responsibilities* Conduct research focused on designing and implementing algorithms related to cryo-electron microscopy (cryo-EM) data collection in a lab that focuses on the structural
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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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. Learn, utilize, and maintain Charge Master data in FinThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking
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computational tools and algorithms developed in the lab for processing and visualizing proteomics data (known as FragPipe computational platform). The individual will work in close collaboration with other
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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. Learn, utilize, and maintain Charge Master data in FinThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking