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Field
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special emphasis on a relaxed and cooperative working environment. Social interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical interaction and a strong focus on mentoring and career development. The School hosts
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interaction analysis and single-cell approaches to unravel regulatory mechanisms of heart function and disease. CRISPR-based functional genomics will allow you to explore and steer the regulatory mechanisms
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Requirements: Interaction with Hazardous Chemicals (NFPA Health Hazard 3 and 4-CMS Report) Will be expected to lift items at or less than 40lbs Exposure to static magnetic fields >5 gauss Additional Information
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-generation combinatorial editing tools and applying them to study genetic interactions. As all our projects integrate high-throughput experiments with computational analyses we are particularly interested in
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
single-cell sequencing Perform studies to develop genome editing strategies for human HSPCs Interact and collaborate with multidisciplinary teams to advance the project Assist with preparation of grant
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South Bank and the Hodgkin Building and New Hunt House/Randal Centre in Guy’s Campus. As part of King’s Health Partners, we have an excellent environment for basic-clinical interaction and a strong focus
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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discovered the first CYP3A5-selective inhibitor and its structural basis (J Am Chem Soc 143:18467, 2021). Our goal is to understand nuclear receptor-regulated transcription networks, enzyme-drug interactions