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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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, women’s health, and fundamental life science. Will conduct original and collaborative research aligned with MIT HEALS; participate in programming and community events; engage with faculty, students, and
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in normal intestinal homeostasis and perturbations that drive pathology, including risk for tumor development. Our research combines cutting-edge techniques, including single-cell RNA sequencing
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for completing complex research projects during their Ph.D and significant experience in standard laboratory techniques (next-generation sequencing (such as RNA-Seq, ATAC-Seq, etc.), flow cytometry, PCR, western
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expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data
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be in close collaboration with experimental and clinical collaborators and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies
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lab has ample opportunities to develop valuable scientific skillsets and make novel discoveries in cardiovascular science. Research in the lab receives funding from multiple external grants including
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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shall align with one or more of the following areas: Beyond 5G Wireless Communication Systems Non-Terrestrial Communication Systems Intelligent Open Radio Access Networks Dynamic Spectrum Sharing Access
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teaching activities. You hold a PhD in microbiology/microbial ecology or similar, and you have experience in bioinformatic methods for analyzing environmental sequencing data (metagenomes, amplicons, long