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Field
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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data • Generative AI & LLMs: Hands-on experience developing LLM
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Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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Field Engineering » Materials engineering Engineering » Computer engineering Engineering » Aerospace engineering Engineering » Mechanical engineering Computer science » Autonomic computing
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, data structures & algorithms, computer organization/architecture, microcontroller programming, systems integration, artificial intelligence & machine learning is a plus. More Information Location: Kent
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experience Strong background in statistical methodology, software languages and computer systems (Perl, C++, R, MySQL, etc.) Experience in writing basic search algorithms and the ability to generate new
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optimizing algorithms, supporting HPC- and data-intensive workflows, and contributing to the development and evaluation of emerging technologies in high-performance computing, data analytics, and
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tackles multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning
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Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Bei Peng, Dr Zheng Yuan Application