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precision operation as well as carry out data collection, system evaluation and benchmarking analysis; (g) prepare high-quality research outputs, including journal articles, conference papers, technical
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-on training in evolutionary biology, molecular techniques, and computational genomic analysis within an active research environment at NYU Abu Dhabi. What the Program Offers: • Full-time paid research position
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 21 days ago
will: Gain foundation knowledge in antiretroviral drug classes, meta-analysis methodologies, clinical trial data analysis, and R programming. Training in this area will occur through a structured program
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support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and integration with clinical
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settings · Collect and synthesize environmental data, contextual observations, and metadata · Perform statistical and qualitative analysis to identify VOC exposure patterns and chemical signatures · Generate
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collaboration with Japanese university partners for integrated macro- to micro-scale analysis. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be
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to collection and processing of research samples. They will lead in study data collection, analysis and write-up, and will present results at local and national meetings. It is expected that they will contribute
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stem cell biology using multi-omics approaches, including RNA sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation
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stem cell biology using multi-omics approaches, including RNA sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation
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part of Dr. Miller's program of work on lifespan motor and visual development in neurodivergence. The ideal candidate will contribute heavily to analysis of existing data and dissemination of results