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. Manage the digital archives of images and make images available electronically to users. Staining - Perform specialized techniques such as immunofluorescence and immunochemistry related to the processing
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Classification Title: Assistant/Associate/Full Professor Classification Minimum Requirements: a Ph.D. in computer science or related field Expertise in AI/ML, deep learning Expert proficiency in
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. Manage the digital archives of images and make images available electronically to users. Staining - Perform specialized techniques such as immunofluorescence and immunochemistry related to the processing
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-institutional, NIH-funded research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling
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, or similar field and three years of experience. Job Description: The Computational Microscopy Imaging Lab (CMIL), within the Department of Medicine, is seeking a highly experienced and strategically minded
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terminology. • Knowledge of the equipment and materials used and their availability and applications. Ability to operate a computer and utilize office suite software such as excel • Experience with budgets and
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Classification Title: Research Software Engineer IV Classification Minimum Requirements: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics, or similar
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learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working experience with popular ML packages, e.g., PyTorch, Scikit-learn, TensorFlow, Pandas, Keras, NumPy
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are current. Asking CEHT or Physiological Science Department for monthly updates. Upload images, announcements, and content updates per faculty direction. Post updates for faculty, graduate students, and
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first