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, develop, and support over 40 relational database instances and distributed Cassandra and Hadoop instances. You will apply your knowledge, skills, and experience to create stable, secure, and reliable data
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validating science algorithms, post-flight calibration and validation, developing field observation databases, science data product development and the fusion of multi-sensor data. There is also the
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that address the grand challenges of our times, and of importance to the Smith School. These include, but are not limited to, artificial intelligence, including algorithmic bias, the spread and mitigation
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design, build and test the efficacy of the cleaning appliance. The postdoctoral investigators will work with Dr. Christine Hartzell and other team members (postdocs, grad students, and undergrad students
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Professor rank) in one of the Smith School’s strategic focus areas including: Artificial intelligence (AI) applications in operations management and business analytics; algorithmic bias and responsible AI
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of the department’s VMware VDI, Web servers, Hadoop clusters, SFTP servers, and database servers including designing and setting up distributed computing, associated storage, security, patching and automation
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enterprise AV environments with presentation technology, and other relevant education-based technologies. Knowledge, Skills, & Abilities: Solid understanding of enterprise audio visual distribution, protocols
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computational modeling. The postdoc will carry out daily research tasks in the lab, including maintaining cell culture, protein expression, and purification, running biochemical/biophysical assays, protein
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the following research areas: Multi-Robot Systems: robotic swarms, robotic cooperation under limited communication, distributed robotics, long-distance collaborative autonomy; Autonomous Unmanned
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. Experience managing linux cluster environments to support distributed computing. Knowledge, Skills, and Abilities: Clear understanding of storage internals in Linux environment in support of Ceph. Strong