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bioinformatics with at least one scripting language (R, python, bash) and expertise in high-throughput sequencing (ideally, including long-read sequencing) data analysis and statistical skills. Excellent written
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
: Experience in statistical modeling and biomedical data analysis is a plus. Evidence of research productivity (publications, presentations, software) is preferred. Create a Job Match for Similar Jobs About The
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information here ! PURPOSE The Postdoctoral Research Associate will conduct advanced research on the integrated analysis and modeling of urban water and environmental systems, focusing on urban stormwater
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analysis and bioinformatic methods relevant to the study of microbial ecology (e.g. amplicon sequencing, metagenome and metartranscriptome analysis). The position is temporary for the duration
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
petrology and relevant data analysis Ability to work in a team Good command of spoken and written English Additional information The position can be filled immediately, but a later starting date is possible
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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based on document analysis and interviews with pre-selected candidates. This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in
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, and citizenship); - Experience in building and organizing databases using international, national, and local data sources; - Experience in quantitative data analysis; - Work schedule and location: a
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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative