13 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral positions at Baylor College of Medicine
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, and optimize automated intrinsic labeling systems (13CO2, 2H, 57Fe, etc.) for crops that will be used in forthcoming human clinical studies. The postdoctoral associate will also learn how to develop
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/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing
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techniques for testing compound activities. Find the research interests, project descriptions and recent publications at the PI's website: https://www.bcm.edu/people-search/yongcheng-song-31069 The position
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maintains crops in greenhouse and/or growth chambers settings. Participates in the Children’s Nutrition Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars
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, and osteoporosis. For more information of the lab, please visit https://www.bcm.edu/people-search/zheng-sun-31489 . Job Duties Uses cutting-edge technologies and integrated approaches, include
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, and other methods. Collects data using cameras, sensors, and data acquisition systems. Prototypes, troubleshoots, and fine-tunes machine learning models for outcome predictions relevant to surgery
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with rich clinical data. Advanced modeling of arrhythmias using generalized linear models and machine learning. Helps in training and mentoring of lab personnel, including graduate and undergraduate
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the Texas Children's Cancer Center. The project aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, we want to design and test a regulated PRDM1 knockdown in
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platforms include GRO-seq, RNA-seq, ChIP-seq, ATAC-seq, CRISPR-seq, single-cell RNA/ATAC-seq, microC, machine learning, sophisticated mouse genetic tools, and an ex vivo tissue culture system from patients
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next-generation CAR T-cell therapies for pediatric solid tumors. The fellow will apply high-throughput screening, T-cell engineering, and single-cell analytics to identify and validate novel receptor