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Field
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advanced deep learning and machine learning algorithms Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing Assist with grant applications
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defenses in Large Language Models (LLMs). Distributed Machine Learning : Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments
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, Machine Learning, Data Science, Electrical and Computer Engineering, Robotics, Statistics, Applied Mathematics, or a closely related discipline before their appointment start date at Penn State
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) and the integrative modeling led by the graduate student. Apply machine-learning and AI-assisted tools in genome analysis, population and disease-ecology work, and pipeline development, with attention
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) and the integrative modeling led by the graduate student. Apply machine-learning and AI-assisted tools in genome analysis, population and disease-ecology work, and pipeline development, with attention
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, Machine Learning, Medical AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large
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translational research Experience with programming skills in Julia, Python, C/C++ including machine learning and AI frameworks, e.g., PyTorch and TensorFlow Experience with omics data management, data
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evidence synthesis (e.g., PRISMA); Understanding of computational reproducibility best practices; Familiarity with machine learning concepts and large language models. Deep expertise is not required, but
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. · Authorship of high-impact first-author or co-author manuscripts in leading informatics and machine learning journals and conferences. · Other related duties as assigned. EDUCATION