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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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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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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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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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. The successful applicant will have an opportunity to work with multiple groups with expertise spanning scientific disciplines and approaches, including oncology, single-cell biology, spatial transcriptomics, high
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also developing and pursuing an independent research agenda aligned with the groups and departments strategic directions. Candidates with a strong theoretical background in non-Hermitian optics
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of single sedimentary particles for downstream DNA extraction, sequencing, and potentially cultivation. Assistance with the establishment of Oxford Nanopore DNA sequencing technology and implementation of a
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, 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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collaborate extensively with national and international consortia. Projects include genome-wide associations and whole exome/genome sequencing studies. The successful candidate will have the opportunity to work
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candidate’s application include: experience with whole-genome or exome sequencing pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud