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single cell sequencing or spatial omics data strongly preferred. Strong publication record and written communication skills. Desired Qualifications* Expert in graph based, multiple instance learning, large
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poorly annotated. This is primarily due to their small size and repetitive nature that results in difficulties in sequencing and assembly. In the last three years, USDA-ARS has invested significantly in
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, motivated early-career researcher interested in learning to collect, manage, analyze, and interpret data from multiple systems including mobile eye tracking, motion capture, and force plate posturography as
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, and publication list In your cover letter, please explicitly detail your experience with genomic and transcriptomic approaches, highlighting how your skills align with the research focus
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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biologists, and computational scientists to understand and mitigate major disease threats to rice. Ongoing research addresses multiple pathogens and pests of economic importance, including rice blast, sheath
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 3 days ago
will use previously acquired sequential serum samples from chimpanzees infected with HCV of a single sequence to investigate the accumulation of mutations over time. Next generation sequence analysis
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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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sequencing (NGS) and bioinformatic analysis, as well as protein display technologies and antibody engineering, is highly desirable. Laboratory research is supported by multiple funding sources, including
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and interest in cancer biology. Our labs are currently collaborating on projects associated with the Cancer Moonshot funded Participant-Engagement Cancer Genomic Sequencing Network, particularly