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Field
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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in several areas. These include, but are not limited to: Literature reviews and logic model development related to primary prevention of sexual assault, harassment, suicide, domestic abuse, and child
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habitats to develop “beaver-bots,” robotic tools inspired by beavers that work within and alongside natural systems; and (5) Planetary Design Computation—testing the potential of using targeted local
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energy across the common envelope and the consequent dynamical equilibrium processes; work on formulating an atmosphere model for contact binary stars; partake in research that connects theoretical models
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Cancer (2024), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
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hands-on experience with advanced techniques, including patch clamp, optogenetics, fluorescence imaging, auditory brainstem response (ABR), stereotaxic surgery, RNA-seq, and computational modeling
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of immune cells as key regulators of the tumor microenvironment. Collaboration with pathologists for tissue imaging correlations and with computational biologists is expected. The work will largely involve
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of the unique genetically modified animal models The Division provides a highly collaborative environment and the possibility to grow. An NIH-funded T32 Training Program is in place. Indianapolis is the capital