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Field
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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administrators. Approves salary distributions, cost transfers, and additional compensation transactions. Serves as primary contact for institutes and centers regarding all financial aid issues; in coordination
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-intensive, often being non-interpretable, and being highly brittle towards shifts in data distribution and changes in the problem domain. This fully-funded three-year project, with the possible further
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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Requirements Knowledge -Data science. -Artificial intelligence algorithms and knowledge representation. -Equality and gender in steam. Professional Experience -Participation in European and national research
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at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising
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Engineering. This project focuses on developing model predictive control (MPC) algorithms for residential energy management systems and energy hubs, with particular emphasis on distributed optimization, cyber
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(Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured
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Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets Mentor junior data scientists and analysts
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets