308 distributed-algorithms-"Meta"-"Meta" uni jobs 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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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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discipline. At least 3 first author papers in disciplines related to neuroprosthetics. Published first author work in using machine learning algorithms for real time neural signal processing. Proficient in a
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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for weekly distribution, create block pictorials and distribute, assign lockers and send new block information to resident prior to start of block. Order resident, fellow, faculty tutorial food. Assist office
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Apply Now Job Summary Perform the assigned duties in Specimen Processing to assure accurate and timely receipt, order entry, transport, processing, and distribution of laboratory specimens. Provide
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(e.g. transcriptomics, metabolomics) Knowledge of machine learning/deep learning algorithms Knowledge of systems biology approaches (e.g. genome-scale modeling) Proficient with R, Python or MATLAB Modes
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optimizing these patterns based on the Gerchberg-Saxton algorithm, and then building out an optical setup to test whether these phase patterns can successfully turn a Gaussian beam into the arbitrary predicted
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for providing utilities services for the university 24 hours per day, 365 days per year. Services include campus-wide utilities purchasing, generation, and distribution, as well as metering and billing energy
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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