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to infer brain aging and injury mechanisms; and iv) study the potential relationship between exposure to head impacts and the development of neurodegenerative diseases such as Alzheimer's, Parkinson's and
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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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and frameworks we work on, and opportunities for applying the methods with top-notch collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training
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stress, anxiety, depression, and loneliness, and how mental health vulnerabilities increase susceptibility to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference
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tracing for improved scalability, energy efficiency and fault tolerance in ML training / inference. We seek to improve our AI and machine learning work by bringing in tools to assist in training and