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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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in analysis of large complex data sets, as evidenced by application materials. Strong interpersonal communication skills, as evidenced by application materials. Demonstrated willingness to help mentor
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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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contact information of two references to Dr. Robin Shaw at robin.shaw@hsc.utah.edu . Responsibilities The position is a unique opportunity to gain experience in both basic and translational large animal
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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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that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star properties
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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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grant writing, research design, data collection, data analysis and dissemination. Candidates with interests in health equity, capacity building, knowledge translation, community-based participatory