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Field
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algorithms for robotic learning, including reinforcement learning, to enable adaptive and intelligent behavior in real-world scenarios. Applicants should have (i) a Ph.D. in Computer Science, Electrical
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undergraduate courses related to programming language, operating systems, computer architecture, data structures, and/or algorithms. Participating in service-related activities, such as serving on departmental
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest management communities. Engage with industry
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to develop algorithms to solve engineering problems, and the implementation of those algorithms in the C language. This course will include using C program for embedded devices for interacting with the world
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, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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the opportunity to conduct independent research and originate research topics over time Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and
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will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest management communities. Engage with industry
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, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data