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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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, including opportunities to develop new scientific directions, design and execute experiments, analyze and interpret data, prepare manuscripts, present research, and contribute to collaborations within
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or machine learning is highly desirable Prior experience with liquid biopsy work is welcome but not required Proven ability to think creatively, work collaboratively, and communicate effectively Fluency in
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, Division of Neonatology and the Neonatal Engineering, Signals, and Technology (NEST) Lab are seeking a creative, motivated, and collaborative Postdoctoral Fellow to join our team and conduct research focused
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, diffusion MRI, EEG, and other neural signal modalities. Build scalable training and evaluation pipelines for large neuroimaging datasets. Collaborate closely with researchers across AI, neuroscience
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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economic impacts of housing provision, opioid use disorder (OUD) treatment, and other interventions for people experiencing homelessness with OUD. The position may also involve other collaborations with
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. The immunological work is supported by a vast collection of patients and control subjects accomplished by Dr. Mignot’s group and collaborators. We also offer opportunities to participate in collaborations with other
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research program in neuro-metabolism. Prior experience with every approach listed below is not expected; the lab provides training, close mentorship, and a collaborative environment for learning across
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appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoc in Children's Language and Learning in Everyday Environments Advisors: Monica Ellwood Lowe, Ph.D., Meg Cychosz, Ph.D