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approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional
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located in a modern, fully equipped research facility in the Texas Medical Center in Houston, TX. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. recipients for academic careers in
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advanced technology cores, animal facilities, and high-performance computational resources to conduct their experiments. Houston is among the most diverse cities in the country, with many cultural amenities
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assessment, muscle morphometry, cell proliferation, nutrient signaling, and molecular biology laboratory techniques. The Postdoctoral Fellow will participate in the CNRC Postdoctoral Fellowship Training
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should have a PhD degree or equivalent and should have a strong background in coding and AI approaches. Degree in computational science, neuroscience or related fields is preferable. Familiarity with brain
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Postdoctoral Research Associate position at University of Oklahoma Health Sciences Center The Kamiya Mehla lab at the newly established Department of Oncology Science and the NCI-designated OU
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also enroll in the graduate degree program leading to the Master of Science in Epidemiology. Residents will share in rotating on-call duties for weekends and holidays Qualifications Applicants must have
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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science
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Qualifications PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. The most advanced degree must have been conferred within the last 3 years. Prior
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using cutting-edge proximity proteomics, protein engineering, CRISPR genome engineering, computational structural biology, and high-throughput electrophysiological techniques. The postdoc will engage in