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Field
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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graduate levels within the MIE department with primary emphasis on simulation, algorithms and optimization, data mining, database management, machine learning, and data analytics, as well as experience in
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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Engineering subareas, which may include computer programming, algorithm design, digital logic design and computer architecture. At least 2 years’ experience in teaching at the college/university level is
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to the spread of false information, political division, and public trust in media. Platform Design, Policies, and Civic Engagement: Investigating how social media platforms’ algorithms, moderation policies, and
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- Ethical and Fair AI - Human-Computer Interaction - Natural Language Processing and Large Language Models - Quantum Computing, Information, Algorithmic Paradigms, and Communication - Scientific Machine
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability
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algorithms and accompanying documentation to augment autonomous vehicle behaviors. - Produces efficient code subject to computational resources to function in real-time systems. - Tests and deploys programs
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to, the following: TELE 6510: Fundamentals of the Internet of Things TELE 5330: Data Networking TELE 6530: Connected Devices TELE 6500: Machine Learning Algorithms for Internet of Things Systems Qualifications: M.S
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statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols. Essential Functions