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in the area of Computational Fluid Dynamics. Familiarity with response surface modeling and optimization, is a plus. Experience using commercial codes like ANSYS-FLUENT is desirable. Qualifications
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process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background in the area of Computational Fluid Dynamics. Familiarity with response surface
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in uncertain environments such as stock portfolio optimization. The lab does not specialize in applied data science projects or computational social science research. Candidates whose primary interest
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the broad area of structural 3D printing (metals, concrete, and composites) and advanced manufacturing. Computational mechanics and structural topology optimization Vision-based structural health monitoring
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. Web performance, accessibility, and multilingual Web experiences. Mobile and networked systems. Measurement-driven design of more equitable Internet infrastructure. AI-assisted optimization of Web and
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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful
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in practical AI/ML system development, hands-on engineering works on these intelligent systems, and system-level optimizations. Additional knowledge on MLOps, robust/secure computing, Hallucinations
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optimizations. Additional knowledge on MLOps, robust/secure computing, Hallucinations and Alignment, privacy-preserving ML, and ML security is highly desirable. Applicants with strong industrial experience
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years of relevant research experience, together with at least a Master’s degree in Computer Science, Computer Engineering, Human-Computer Interaction, Artificial Intelligence, Data Systems, or a closely