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-on expertise in building and characterizing 3D multicellular tissue models — including hiPSC-derived and primary-cell co-culture/organoid systems — to lead studies defining how spatial and multicellular context
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that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be
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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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networks. This person will work under the direction of Dr. Read Montague, will maintain and implement the lab’s current neural network models, and will participate with other lab members in further
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Computer Engineering with a current enrollment of approximately 1,300 undergraduate and 670 graduate students. The department has 71 full-time tenured or tenure-track faculty members and 22 non-tenure-track
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malignancy. The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow cytometry, and single-cell multi-omics to dissect disease mechanisms. We are committed to mentoring
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models to sustain enterprise services with the agility to adapt to evolving AI and cloud cost models. Maintain an enterprise applications roadmap that leverages modern design principles that meets current
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a