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such as cell state annotation, pathway enrichment, and tumor–tumor microenvironment interaction modeling to generate biologically meaningful insights. Leads computational research projects and method
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of sorghum agronomy, integrate agronomic, survey and decision data using qualitative, mixed-method, statistical and machine-learning approaches, and translate findings into transparent and practical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
experimental design, wet-lab method development, sample preparation, LC-MS method development and analysis, thorough data analysis and writing reports. To establish internal partnerships with research
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complementarily, but should not be the primary method. Viable path towards access. Ethnographic and interview access is challenging. Applicants should demonstrate that they can obtain access to conduct the
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candidate who thrives in a dynamic research environment and is excited by the opportunity to contribute to both microscopy method development and fundamental mycology as the basis for future innovation. The
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contribute specialist expertise to experimental design and method development, maintain reproducible experimental records, and undertake quality control. They will collaborate with project partners to
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 5 hours ago
Chemistry, Chemistry, Molecular and Cellular Biology or relevant disciplines; fully trained and very experienced in analytical method development for sample enrichment, biological sample preparation from
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computational method development, data analysis, and experimental design. Integrate information from high-throughput screens, proteomic data, and next-generation sequencing data to generate and
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-environmental research questions Advance the use of visual transformer embeddings for social science applications Collaborate on active learning, debiasing, and statistical method development Contribute to
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, with its world leading groups in functional programming and formal methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance