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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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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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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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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
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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track record of collecting data on animalbehaviour. Experience of statistical analysis. Evidence of publication record commensurate with stage of career. The ability to work closely with animals and
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of products using relevant techniques (e.g., chromatography, spectroscopy, and thermal and mechanical analysis) to quantify yield, composition, and quality. The role encompasses troubleshooting system
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data