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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 18 days ago
technologies, large-scale genomic and multi-omic datasets, high-performance computational resources, and extensive expertise in human genetics, bioinformatics, and translational neuroscience. Our long-term goal
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associated data analysis. Knowledge of protein science and structural bioinformatics, including the ability to manipulate protein sequences and structural data. Collaborative teamwork skills and the ability
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with strong background in microbiology, microbial isolation, bioinformatic skills coupled to next-generation-sequencing methods for assembling and characterizing microbial genomes and phylogeny will be
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
in thermodynamics and reaction kinetics. • Background in engineering non-conventional host organisms [e.g., Yarrowia lipolytica]. • Experience with bioinformatics, transcriptomics (RNA-seq
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
, or prime editing. • Computational Biology & AI/ML: Experience in AI/ML-enabled design of biomolecules (e.g., proteins, RNA) or bioinformatics. • Cell Analysis: Proficient in flow cytometry, FACS, NGS
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, Chemical Engineering, Bioinformatics, Biostatistics, Computer Science, or a related field from an accredited institution of higher education, conferred by the start of employment Experience in biomedical AI
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, Bioinformatics, Statistics, Data Sciences, AgEngineering, or related fields. Preferred Qualifications: Two or more years of research experience in animal sciences or a closely related field Experience with
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; experience performing metabolic analysis using mass spectrometry, especially in complex matrices; experience with metabolomic pathway bioinformatics analysis and development of rapid point-of-use analytical
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with