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Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information enabling a better understanding of the clinical
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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bacterial strains, the metagenomic and metabolomic core facilities, and bioinformatic resources for large-scale data integration and analytics. The Biological Sciences Division also provides access
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Medicine, Rice University, and more than 40 other institutions. Faculty members in the BMB department have excellent access to state-of-the-art facilities and a large pool of outstanding local colleagues
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Join our interdisciplinary team to design and execute large-scale pooled CRISPR and Perturb-seq screens that close knowledge gaps identified by AI tools. Core responsibilities Develop and optimize
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Post-doctoral fellowship (PDF) description: This post-doctoral fellowship (PDF) will harness the large amount of data generated from this site using various remote sensing systems as well as ground
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research program at Healing Country which aims to explore the importance of Indigenous land management practices for health discourse and policy. By connecting large-scale patterns with local experiments
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characterization. Proteomics today captures only half the story. By focusing almost exclusively on positively charged peptides, current approaches miss a large class of acidic biomolecules. This project challenges
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for Biology) Lab led by Dr. Christoph Gorgulla within the Center of Excellence for Data-Driven Discovery in the Structural Biology Department of St. Jude seeks a skilled and highly motivated wet lab Scientist