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. Preferred Qualifications Strong computational and data analysis skills with experience developing analytical methods. Experience with machine learning, deep learning, graph-based models, variational
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), intelligent agents, knowledge graphs, speech technologies, and AI-enabled decision support systems. Working collaboratively with faculty researchers, engineers, students, and external partners, the AI Research
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variations and future climates. The approach will be based on the use of innovative methods to analyze data derived from pan-genome/pan-graph analysis. Build software components for these analyses and
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of Biomedical Research, and Indiana Alzheimer’s Disease Research Center. Additional details about the Department and the PhD program are available on our web page: https://medicine.iu.edu/biostatistics
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to include graphing data and preparing daily progress notes. All behavioral therapy strategies and intervention components will occur through the implementation of a treatment plan that is prepared and
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Overview The College of Engineering is seeking a qualified candidate to support a new NSF-funded project (https://www.nsf.gov/awardsearch/show-award?AWD_ID=2602821) investigating coordination in squid
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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rigs" for components such as intake, nacelle, bypass duct as well as nozzle and mixer. Implementation & training: you prototype selected AI/ML models (e.g. PINNs, graph-based models) within
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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing
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, such as books and calculators for students. Demonstrate the use of calculators, both graphing and non-graphing, and any software used in the STEM courses. Assist in compiling end-of-semester statistical