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. Additional Qualifications: Knowledge of machine learning tools such as penalized logistic regression, XGBoost, neural networks. Knowledge of modeling strategies including propensity score weighting and doubly
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employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant to
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of the following: 3D Printing, Computer-Aided Design, Organic Modeling, Device Development, Software Development, Immersive Technologies (VR, AR), Device Manufacturing. An advanced degree may
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in machine learning theory and practice: you understand not just how to use tools, but how they work Deep learning expertise with modern frameworks (PyTorch, TensorFlow, JAX) Experience developing
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits
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about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 2 yrs Required License/Registration/Certification None Physical Requirements This position requires
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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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acquiring signature from Department liaison for all accountable mail. Sort and deliver departmental mail. Employee must use databases, links and tools to locate faculty/staff and reroute unidentified mail or