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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting
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newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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includes large-scale precipitation and temperature manipulation in combination with reciprocal transplants of genotypes of common tansy (Tanacetum vulgare) and paper birch (Betula papyrifera) across four
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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languages is preferred. Experience handling large next-gen sequence datasets is preferred. A demonstrated ability to publish original research in peer-reviewed journals is preferred. About the Department We
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Council, the project will integrate new data collections with existing datasets from recent studies and monitoring programs to understand how pond age, design and management influence trajectories of pond
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effects in pediatric cancer. Collaborate with other researchers to better understand the complex interactions between health determinants and disease outcomes. Extract and analyze large datasets
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: 30% Lead research projects pertaining to development of large animal models of disease
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techniques. Preference will be given to candidates with experience screening large yeast collections and computational biology expertise. Research Overview Polyploidy, or the presence of three or more sets of