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, AZ USA Position Highlights The ideal candidate will work with Dr. Bheemasetti in advancing the fundamental and applied research in the geomechanical behavior of geomaterials and mine systems
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is an Equal Opportunity Employer. South Dakota Mines and the Board of Regents ensures that all employment practices are free of discrimination. Contact Information
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products • Broad experience with small molecule isolation and structural elucidation using HPLC, LCMS, 1D NMR and 2D NMR techniques • Skilled in structural elucidation using MS/MS data from metabolomics
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undergoing a high continuous physical workout like mining, farming, and emergency services, all of whom work in harsh conditions – and people who are working in less extreme environments, elderly people living
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from the laboratory through mine and reservoir scale to the deformation of tectonic plate boundaries. At the field scale, we investigate seismic and aseismic deformation processes and aim at identifying
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ensure the integrity of the database. We also expect this position to help maintain the FRST website (soiltestfrst.org), develop grant proposals, assist collaborators in collating and publishing data, mine
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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laboratory notebook; conduct data mining. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Write research reports, presentations and
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures