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-and-quality-control-materials-metqual-program key words Metabolites; Metabolic pathways; Mass spectrometry; Bioinformatics; Chemometrics; Multivariate statistics; Human health; Precision medicine
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for this project include state-of-the-art automation for microbial engineering, culture, and measurement. key words Machine Learning; Biology; Bioinformatics; Data Mining; Genetics; Active Learning Eligibility
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metabolomics analysis pipelines. key words metabolomics; mass spectrometry; neural networks; algorithms; machine learning; cheminformatics; biostatistics; bioinformatics; big data Eligibility Citizenship: Open
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Biotechnology 2019, 37, 561. [2] P Krusche, et al, JM Zook. Best practices for benchmarking germline small-variant calls in human genomes. Nature Biotechnology 2019, 37, 555. key words Genomics; Bioinformatics
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Biotechnology 2019, 37, 555. key words Genomics; Bioinformatics; DNA sequencing; De novo assembly; Machine learning; Reference materials; Precision medicine; Data science; Artificial intelligence Eligibility
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/bit.27661 key words Liquid Chromatography; Mass Spectrometry; Metabolomics; Biomanufacturing; Bioinformatics Eligibility Citizenship: Open to U.S. citizens Level: Open to Postdoctoral applicants Stipend
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on interdisciplinary approaches to address the current barriers and bottlenecks in these fields including (1) advanced statistical, bioinformatic, and chemometric analyses of large-scale data; (2) chemical annotation
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2019, 37, 555. key words Genomics; Epigenetics; Transcriptomics; DNA methylation; Bioinformatics; Sequencing; Machine learning; Reference materials; Precision medicine; Data science; Artificial
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for NGS detection of viral adventitious agents. Applicants with experience in molecular biology, qPCR, digital PCR, cell culture, viral propagation, bioinformatics or next-generation sequencing