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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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-lasting vegetation communities on and adjacent to mining-impacted land. The Postdoctoral Research Associate will leverage existing and new observations to build predictive capacity for revegetation success
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duties and responsibilities include: computational (meta)genome mining and quantitative data analysis of biosynthetic and catabolic genes and clusters, pathogenicity genes and other functional genes
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social impacts from mining and for promoting local benefits. The successful applicant will have training in both qualitative and quantitative methods, including field research. Experience Work requires a
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, or biostatistics. Computational skills, including experience with bioinformatic tools and packages, are needed. Experience with data mining, especially for ‘omics’ datasets, or developing pipelines/software
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate to work on data mining, in the context of a project funded by Leverhulme Trust, in the Department
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Employer. South Dakota Mines and the Board of Regents ensure that all employment practices are free of discrimination. Contact Information
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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Post-Doctoral Position in Biomedical Data Mining - (180000MG) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate