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computing and scalable algorithms • Decision science and learning health systems design Qualifications Required: • Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science
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Head and Neck cancer patients. This person will be working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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iteratively refine algorithms to ensure scalability, reproducibility, and biological interpretability. Behavioral Representation Learning and Temporal Modeling (30%) Build canonical behavioral embeddings
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analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical
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period of 12 months, possibly renewable up to a maximum of 36 months, scheduled to start on March 2026. 2. WORK PLAN AND WORKPLACE: The project will investigate the developed algorithms and methods
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experience in evaluating, architecting, and integrating AI solutions, preferably in a consulting, academic or research environment. Hands-on experience with AI algorithms, machine learning, natural
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice-nondiscrimination Minimum Required Qualifications: Master's degree in Artificial
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the implementation of optimization algorithms using tools such as Python and MATLAB. Provide feedback on student progress and common challenges to the course instructor. Coordinate exam proctoring and ensure clear