55 parallel-processing-bioinformatics Postdoctoral positions at Nature Careers in United States
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, bioinformatics, microscopy, and flow cytometry is a plus. The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed
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qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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-reactivity to commensal bacteria influences B cell responses after vaccination and in autoimmune diseases. Perform single-cell RNA, ATAC, TCR, BCR library preparation, data processing, and analyses. Design and
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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biology, biomedical research, bioinformatics, biochemistry, bioengineering, etc. With the motivation, skills, experiences, and initial achievements (subject to academic age) to qualify for a competitive
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resources Minimum Education and/or Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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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, fMRI, DTI