31 distributed-algorithms-"Meta"-"Meta" positions at SUNY University at Buffalo in United States
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: Exploring how non-classical states of light can enhance modern microscopic imaging techniques. Designing setting up and executing the experiments Developing relevant algorithms for experimental data post
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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of distributed ML models. You will be expected to collaborate with senior engineers and researchers across domains. This role includes opportunities to work with state-of-the-art natural language processing, large
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humanistic lens (e.g. critical algorithm studies or critical artistic work). These lines of inquiry are by no means exhaustive, but reflect our belief as a department that 1) we cannot have AI systems
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Physical Demands Once or twice a year would need to help distribute books to students Salary Range $25.00 per hour Additional Salary Information Job Type Part-Time Campus As Assigned Posting Alerts Special
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Physical Demands Once or twice a year would need to help distribute books to students Salary Range $25.00 per hour Additional Salary Information Job Type Part-Time Campus As Assigned Posting Alerts Special
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clerical work, or manual labor, related to storing, receiving, and distributing goods, materials, commodities, or other property. Duties Include: Assign and reassign work to subordinate staff and schedule
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institution. Five years of progressively responsible experience managing and administering a successful business services program in a complex and distributed organization. Demonstrated experience leading
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. Properly using test equipment, material and tools in a safe and professional manner. Reading schematics, blueprints and power distribution diagrams. Being proficient in the application of the NPFA70, NFPA70B
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machine learning algorithm to improve the modeled surface meltwater in the Goddard Earth Observing (GEOS) model. Advocating and adapting the model based on collaborator feedback is key to the success