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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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applications for a Postdoctoral Scholar, Instruction position for the Fall 2026 semester. The selected candidate will teach at the undergraduate level, including general chemistry, along with supervision
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Institute of Data Science, and Smart Grid Center, etc. Perform other duties as assigned. What we need: PHD Degree What is helpful: Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a
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applications used to record, analyze, and report findings Strong organizational and documentation skills Ability to establish and maintain effective working relationships with faculty, staff, and students
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools