109 distributed-algorithm-"Meta"-"Meta" positions at University of Minnesota in United States
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Previous Job Job Title Campus Operations Supervisor - AHC/BDD Distribution Next Job Apply for Job Job ID 368107 Location Twin Cities Job Family Campus Operations Full/Part Time Full-Time Regular
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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Biology is seeking to fill a position working on a research project that uses autonomous recording devices (ARUs) to determine the statewide distribution of red-headed woodpeckers. In Minnesota the Red
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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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community partnerships and local farms. The VeggieRX Associate will work with a multi-organization team to develop best practices in farm-direct produce distribution through health care providers Duties and
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sampling), biogeochemical/physical process-based model, advanced AI algorithms, and top-down atmospheric inversions. Tasks Include: Developing AI-ready benchmark datasets to aid in the AI algorithms
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to receiving, cross-docking, sorting, fulfilling, issuing and distributing of materials, equipment and supplies. Responsibilities 50% Order Filling and Distribution. Fills customer orders for supplies
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Dissertation Defenses: Advise students through logistics of process, create exam schedule handouts, reserve rooms, compile/distribute exam materials, and compile exam grades Coordinate annual review of all
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states