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advanced machine learning and deep learning tools to decode the complexity of immune–tumor interactions, integrate multi-omics data at scale, and predict patient responses to therapy. The center works at
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expertise in immunology with multi-color flow cytometry, confocal microscopy, molecular biology techniques such as qPCR, Western blot analysis, experience analyzing large and complex data sets, and strong
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, University of Maryland, and Stroud Water Research Center in the areas of hydrologic and biogeochemical Modeling and water quality remote sensing. The postdoc will contribute to research activities of a NASA
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and
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stress-induced molecular & electrophysiological remodeling in the development of cardiac arrhythmia and heart failure as well as ischemic stroke-caused brain injury; collects and analyzes data for research
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the time of appointment. Demonstrated record of accomplishments in affective science. 1-3 published papers in affective science. Preferred Qualifications: Expertise in data analysis including multi-level
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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Comprehensive Cancer Center (OSUCCC) is seeking an experienced Senior Scientist to direct an advanced mass spectrometry-based proteomics core facility. The Senior Scientist will design and perform a wide variety