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in a PhD thesis submitted to the University of Oslo. We seek a highly motivated candidate with a strong background in molecular biology, human genetics/genomics, data mining, machine learning, and
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proficiency in educational data mining and AI for education, with the ability to handle a large volumes of data Prior experience working with LLMs, including programming, fine-tuning, evaluating, and
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and ambitious researcher with a strong background in molecular biology, human genetics/genomics, bioinformatics, machine learning, data mining, and computational programming, including software
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
structured learning opportunities in regulatory science and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory
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- $113,659.72 + 17% super (Academic Level A) Based at our St Lucia Campus with occasional travel to mine sites About This Opportunity Join The University of Queensland as a Postdoctoral Research Fellow and
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, and marker development. Experiences to analyze high through put data sets including short- and long-read genomic and transcriptomic data, and develop or apply related software for data mining. Familiar
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein sequence databases, analysis of gene function via CRISPR/Cas
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The Wee Kim Wee School of Communication and Information (WKWSCI), together with the Earth Observatory of Singapore, is looking for a Research Fellow to make an important contribution to the research
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
interactions. These directives require a multifaceted approach involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein
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in educational data mining and AI for education, with the ability to handle a large amount of data Prior experience working with LLMs, including programming, fine-tuning, evaluating and benchmarking