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code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion
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theoretical methods. We pursue consequential questions at the intersection of artificial intelligence, human behavior, social networks, institutions, and large-scale digital systems. Recent projects span the
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-quality research through algorithm development, numerical simulations, and scientific dissemination. The position offers an excellent opportunity to contribute to cutting-edge research while working in a
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optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven
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optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven
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or more of the following areas: artificial intelligence, natural language processing, computer vision, multimodal learning, affective computing, human-robot interaction, social robotics, or human
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modeling, geotechnical laboratory testing, and complementary numerical simulations to improve understanding of soil behavior and geotechnical system performance for infrastructure, energy, and
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, and machine learning. The successful candidate will support the Principal Investigator (PI) in conducting high-quality research through algorithm development, numerical simulations, and scientific
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categories View less categories Discipline Computing Job Type Faculty Member Employment - Hours Full time Duration Permanent Qualification PhD Sector Academia Apply on website (This will open in a new
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View more categories View less categories Discipline Computing Job Type Faculty Member Employment - Hours Full time Duration Permanent Qualification PhD Sector Academia Apply on website (This will open