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advanced research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of
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-Intensive Systems group studies management and analysis of complex data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining
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mining industry, infrastructure construction, acid sulfate soils and sulphide-bearing rocks. Special focus is put on Critical Raw Material (CRM, incl. e.g. REE, W, V) mobilization in the environment
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learning technologies, including generative AI, large language models, and intelligent tutoring systems; conducting learning analytics, educational data mining, and implementation research; supporting
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incorporating language and data mining, machine learning, as well as network analysis on existing literature and data to recommend the best in vivo vaccine research strategies. The successful
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, including development and implementation of biochemical assays informatic and genome mining to identify, characterize, and understand the diverse biosynthetic pathways of bacterial sources protein
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
deposits to understand their genesis and exploration potential. In addition, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical
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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
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, including development and implementation of biochemical assays informatic and genome mining to identify, characterize, and understand the diverse biosynthetic pathways of bacterial sources protein
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will