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studies will also be considered. Computational methods, content analysis, surveys, and other methods can be used complementarily, but should not be the primary method. Viable path towards access
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learning? Then you are the person we are looking for. Your position You will contribute to the newly funded COGNITO project (carbon monoxide (CO) Global aNalysis, source Identification and emission
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
results and troubleshoot technical challenges to advance research objectives. Data Analysis, Interpretation, and Dissemination (20%) Analyze and interpret experimental data using appropriate computational
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neuroimaging methods. The position will involve management and analysis of data from a NIH-funded project on individual differences in substance use disorders and/or related public data sets. We are committed
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microbial genetics and cultivation, molecular cloning, protein expression and characterization, DNA and RNA purification and analysis, and protein-nucleic acid interactions is required. The candidate should
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responsible for conceptualization of appropriate advanced quantitative methodologies and analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective
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research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and
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models, network analysis, graph-based learning, uncertainty quantification, scientific machine learning, or interpretable AI. This position is full time, on-site at the Penn State University Park campus
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required. The successful candidate will have a strong foundation in bioinformatics, biological data analysis, data integration, or systems-level analysis of molecular and cellular biology data. Candidates
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checks. Preferred qualifications: · Demonstrated expertise in evolutionary and ecological genomics · Expertise in analysis of whole-genome sequencing datasets · Programming for bioinformatics