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Field
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essential. Experience in applying machine learning approaches particularly large language models. Ability to work within a multi-disciplinary team environment on scientifically challenging problems
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. Postdoctoral Associate Position Haynes Lab Be You. The Duke Human Vaccine Institute (DHVI) provides national and international leadership in the fight against major infectious diseases. We are a large
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create engaging, science-based training materials in both English and Spanish
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well
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software skills in C++, python. Understanding of computing software development in the HEP environment, familiarity with machine learning (ML) techniques and experience with using ML software packages (e.g