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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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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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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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learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research
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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
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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, hybrid cloud computing, and parallel programming with GPUs. As a Junior Research Engineer, you should have some basic understanding and experience in the development of scalable AI systems and deployment
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hands-on experience working on projects related to medical imaging with multiple modalities such as CTs, MRIs, and histopathology images. Distributed computing: Familiarity with distributed training