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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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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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transplantation research, leveraging pulsed focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings
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new techniques as projects evolve. Design, adapt, and optimize experimental protocols in response to emerging scientific questions. Write and contribute substantively to research protocols, manuscripts
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Research, the Institute for Computational and Mathematical Engineering, the Human-Centered Artificial Intelligence initiative, and numerous other interdisciplinary partners across campus. This rich
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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the team with compiling and analyzing geospatial datasets, developing and testing deep learning algorithms for complex image classification, optimizing data collection strategies for unmanned aerial vehicle
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(GitHub) and AI coding assistants (e.g., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis