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& Responsibilities Review literature, conceptualize hypotheses, design and conduct experiments, analyze results, and publish in peer-reviewed literature. Build bioinformatic pipelines for analysis of genomic
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and external parties. Operates specialized scientific equipment. Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and
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of infection, and microscopy. Multi-omics approaches and big data analysis will be included. Perform data analysis, prepare data for presentations (oral and written), write manuscripts and other research
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sepsis, with a focus on neuroimmune and interorgan communication. Mandatory requirements The successful candidate will have: • Extensive experience with bioinformatics (the analysis of bulk and single-cell
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analysis of consumer-citizen studies related to fermented plant-based food prototypes. Therefore, the candidate will contribute to the development of online experimental consumer and sensory studies
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genomes to characterize each transcriptome separately. Conducts dual RNA-seq differential expression analysis focused on stress-response pathways, virulence-associated genes, and inflammatory responses
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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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RNA sequencing (scRNA-seq) data analysis is preferred. Additional experience in cancer immunology, neutrophil/myeloid cell biology, flow cytometry, bone marrow transplantation, bioinformatics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
/Description: The Wang Lab is recruiting a postdoctoral research associate with expertise in computational genomics and bioinformatics focusing on long-read sequencing analysis. The successful candidate will
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. Develop research protocols, statistical analysis plans, graphical displays, and other study-related documents. Perform advanced statistical analyses using large epidemiologic, clinical, and administrative