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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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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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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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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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biophysical forces at play, the similarities and differences across animals, and how IVF clinics can better decide which embryos to implant. This project will be aligned with the aims and objectives
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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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, 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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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
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and/or neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat