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engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning
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, and computational method development, unified by a common effort to translate these approaches into tools that change how patients are diagnosed and treated. One arm of the lab focuses on pushing
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with IBD and build novel model-informed precision dosing applications. Located in the epicenter of Silicon Valley, the Colman Lab utilizes state-of-the-art AI-assisted tools and innovative machine
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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational
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to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $76,383 - $130,000 Position Overview We are seeking a Postdoctoral Researcher in Human-Computer Interaction to join Dr
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a unique opportunity to work in a cutting-edge, interdisciplinary environment, leveraging a novel in-vitro model of the human uterus and/or cutting edges machine learning techniques to make
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record in either R programming or Ppython. Proficiency in other programming environments is a plus Familiarity with NLP or machine learning tools Publication track record Excellent communication skills
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collected through ongoing SCEC programs. This data will support the postdoc's work developing and deploying multimodal models to improve the iFIND tool, extending its current text-based approach. Primary
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research and practice, supporting equity in education through the open dissemination of evidence-based tools that support students and teachers while advancing the frontiers of knowledge through inclusive
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python