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Field
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources
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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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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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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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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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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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expertise from education, psychology, sociology, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics
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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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, academic-year position at the rank of Assistant Professor starting in Academic Year 2026-2027, with preference given to candidates specializing in Cloud/Cluster/Distributed Computing, Algorithms and Theory