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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific vision
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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, and machine learning methods. Using regression analysis and vector autoregression (VAR) models, the study examines the relationship between macroeconomic variables and the performance of various
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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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and growing scientific team, with opportunities to shape the direction of an exciting research program at the intersection of gene regulation, stem cell biology, and machine learning. This is an
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Registered Nurse (RN) and must advance on UKHC
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, electron microscopy, material testing, and physical simulation machine (Gleeble). Research on AM is conducted mainly experimentally and through modelling and simulation to understand, develop, and improve
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scoping to deployment and monitoring of production-grade models—with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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Location Lexington, KY Grade Level 10 Salary Range $25.52-39.10/hour Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https