147 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers in United States
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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Job Description Collaborates with new and existing program partners to support research initiatives, including the collection, analysis, and interpretation of primary and secondary data to address
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responsible use of, laboratory animals. Our approach involves Vivarium staff working very closely with our scientists by taking responsibility and ownership of processes that involve animals, but are not data
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and ownership of processes that involve animals, but are not data driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a
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responsibility and ownership of processes that involve animals, but are not data driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a
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., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software
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for more information about the Klaus Töpfer Sustainability Fellowship and a list of Frequently Asked Questions. The Klaus Töpfer Sustainability Fellowship is supported by a discretionary budget of up
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About the Role: We are seeking a highly skilled and motivated Research Specialist with advanced expertise in mass spectrometry-based data analysis, particularly in quantitative label-free and/or
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Haiman and Fei Chen on analyzing risk factors, genetic (e.g. GWAS, whole-genome and whole-exome sequence, copy number variants, LoY, CHIP) and other omics data (e.g. metabolomics, proteomics, methylation
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening