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of the art data science approaches (text mining, machine learning, AI) to comprehensively highlight yet undiscovered virus/host/environment relationships and annotate potentially putative new spillover
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Natural Language Processing and Understanding Text mining and information extraction Machine learning Document Intelligence Background in any of the following topics: Financial Technologies Regulatory
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health records (EHR), unstructured clinical text and multi-omics data. The candidate is required to have a Ph.D. in biomedical informatics, computer science, information science, data science, (bio
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mining, and machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable. Documented expertise and working experience within at least two
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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Location of Position (City) Rapid City Posting Text The Arbegast Materials Processing and Joining (AMP) Laboratory at South Dakota Mines invites applications for a Postdoctoral Researcher. This is a full
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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Location of Position (City) Rapid City Posting Text The Nanoscience & Biomedical Engineering Department at South Dakota Mines invites applications for a Postdoctoral Researcher position within Dr. Shan