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distribution function and XAFS techniques. Ability to test and refine atomistic structure models against experimental x-ray scattering data. Ability to perform the essential functions of the job with or without
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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-throughput sequencing data analysis. Experience working with and quantifying microplastics in complex samples. Experience with meta-analysis of genomics data and model development for predicting outcomes
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diseases. Specifically, this postdoctoral fellow will focus on establishing biology models and assays relevant to the in vivo cell therapy platform, generating and testing novel in vivo cell therapy designs
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mechanisms underlying gene regulation within immunological disease models. This will include pooled and arrayed CRISPR screens in combination with the interrogation of coding and non-coding human genetic
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Position Information Position Information Posting Number F-0940 Position Title Hydrologic and Hydraulic Modeling Postdoctoral Research Fellow College/Unit College of Science and Engineering Home
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Medical School is focused on the development of new models for healthcare delivery, promotion of health, and innovation. The Department of Ophthalmology and the MSWEI seek to recruit dynamic, academically
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leading Local Mental Health Authority in the State of Texas, Integral Care is Joint Commission accredited and prides itself on continually advancing services, primary care integration, and developing model