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enabling and coordinating metabolism. In the course of evolution, the same molecules have attained more and more key roles as regulators of virtually all biological processes, often through posttranslational
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A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and
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Xenograft Models (CDX and PDX), High-throughput Screening, biochemical and biophysical assay development, Bioinformatics, Depmap, TCGA, Computational Biology. Growing national reputation within academic field
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samples, iv) conducting bioinformatic analyses on RNA-Seq datasets, v) analyzing metabolites with mass spectrometers (LC-QTOF, SPME-GC-MS), and vi) disseminating results and knowledge generated
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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studies. Leading data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision