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Field
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on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational approaches, we will integrate
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume
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, reptiles, amphibians, insects. Demonstrated experience using machine learning algorithms and Bayesian statistics within the R-language. Equipment Utilized Advanced computing systems. Physical Demands and
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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Department School of Computing, Chair Compensation Negotiable General Description/Primary Purpose: The School of Computing is seeking a 9-month, tenure-earning, Assistant Professor of Computing
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recognition neural networks (e.g., Tsetlin Machines, Graph Neural Networks, RNNs for time-series causal discovery, XGBoost). AI-driven heuristic search (e.g., genetic algorithms, genetic programming, simulated
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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diseases. Required Qualifications: (as evidenced by an attached resume) ● Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a