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primary interest on: Artificial Intelligence (preferably with a focus on generative AI, LLMs, robotics, or agentic AI)and Large Scale High Performance Computing. Successful candidates will be expected
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The University of New Haven seeks experienced and student-focused full time Instructors for a Pre-University Program to be delivered in Riyadh, Saudi Arabia. The program focuses on preparing
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, with a primary interest on: Artificial Intelligence (preferably with a focus on generative AI, LLMs, robotics, or agentic AI)and Large Scale High Performance Computing. Successful candidates will be
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learning accelerators, and scalable architectures for high-performance systems. • Integrated Circuit (IC) Packaging to lead innovation in advanced 2.5D/3D integration, chiplet architectures, and
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
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The Head of the KGSP oversees Saudi Arabia's most important STEM scholarship for the nation's highest-performing students. The KGSP is not only a crucial strategic source of Saudi talent for KAUST
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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devices Design intuitive interfaces for AI model interaction and advanced image analysis Manage high-performance databases optimized for large-scale imaging datasets Implement security measures including