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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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Vision Parallel & Distributed Computing Control and Optimization Human-Machine Interaction Software Development AI Agents Preferred Expertise Experience deploying AI solutions in fields such as: Predictive
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, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns
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of compute resources critical to CESR operations, analysis, and simulation – including the CLASSE Compute farm which supports batch, parallel, GPU, and interactive workflows across a cluster of high
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algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed systems. Relevant certifications (e.g., Data Structures and Algorithms Specialization from Coursera, Google IT
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concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking. Knowledge of modern algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed
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distributed memory parallelism (OpenMP, MPI) and GPUs Strong communication and people skills are required. The ideal candidate is curious, self-motivated, and able to work with minimal supervision. The selected
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing
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information in the laboratory information system, and scanning necessary paperwork into the laboratory information system. Distribute the referred specimens to the appropriate pathologist. 25% Coordinate
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, Architecture, and Design; the School of Optometry; Luddy School of Informatics; the School of Public Health; the Jacobs School of Music; and the College of Arts & Sciences. The determination of the appropriate