35 multiple-sequence-alignment Postdoctoral positions at Nature Careers in United States
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Posting Title: Postdoctoral Scholar (Multiple Positions), Medicine - Biomedical Sciences Medicine-Structural Biology Department: College of Medicine, Medicine Biomedical Sciences Job ID: 60397
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childhood cancer survivors. Specific research topics include 1) genetic association analyses (whole genome and whole exome sequence associations and polygenic risk scores) for various long-term health
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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fundamental drivers of metastasis, drug resistance, and other key cancer outcomes. Projects will be tailored to the candidate’s strengths and interests, with multiple creative, high-impact directions available
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pediatric cancers. In prior work, we have developed tools and methods to map the cellular diversity of pediatric tumors by adapting single-cell sequencing techniques to archival frozen tumors. In that work
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for biomedical engineering, the Tsongas Industrial History Center for historical research, and advanced laboratories for materials science, sequencing, molecular biology, robotics, and environmental research
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(TMJ) degeneration and pain, and salivary gland degeneration. The lab uses mouse and human iPSC/organoid models equipped with genomic, single cell RNA sequencing, spatial transcriptomics, tissue clearing
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Postdoctoral Research Associate Position to work on the biophysics of sequence-structure-function relationships of intrinsically disordered protein regions (IDRs). IDRs use different types of sequence-encoded
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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify