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Field
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will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
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, and the ability to thrive in a highly cross-functional environment. They will primarily be responsible for the development of algorithms and pipelines to analyze vast amounts of electronic health
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Responsibilities: Develop novel quantum reinforcement learning (QRL) algorithms using variational quantum circuits (VQCs), focusing on the multi-agent setting. Design and implement efficient credit assignment
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role, you will report to the Chief Informatics Officer (CIO ) and lead your team to develop the next generation of software infrastructure to support data generation, analysis, and dissemination
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to Programming Algorithms and Data Structures System Analysis and Design Theoretical Computer Science Advance Algorithms Operating Systems Emerging Paradigms in Programming Fundamentals of Software Engineering
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in a research project on machine learning modeling and optimization of vertical farms. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced control
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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– Proven skill in developing and executing enterprise-level strategies that align AI, data analytics, and research computing with institutional priorities. Research Computing and Infrastructure Oversight
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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of advanced hardware architectures. The continuing evolution of computing hardware has led to enormously complex architectures with execution models that integrate advanced memory technologies and hardware