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for a Postdoctoral Researcher with expertise laboratory methods for ONT (Oxford Nanopore Technologies) long-read sequencing based DNA and RNA analysis and bioinformatic methods relevant to the study of
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resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R
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scientific conferences/journals. Qualifications: Ph.D. in genomics/computational biology/bioinformatics/statistics/computer science or related discipline Experiences in Unix/Linux shell Proficient in at least
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laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab. The Fred Hutch Data
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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opportunities. What you'll bring Essential Hold a Ph.D. in a relevant field (e.g., Computational Biology, Bioinformatics, Machine Learning, Systems Biology, Genomics, or a related discipline), or be in the final
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, biochemistry, cell or developmental biology, or bioinformatics are invited to apply. The candidate will be supported by a NIH grant to explore regulatory T cells based on newly developed experimental platforms
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resources are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI