73 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers
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interest in applied cancer genomics and the technical skills to analyze and interpret a uniquely rich collection of NGS datasets. SickKids has excellent infrastructure for computational genomics and
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. News World University Rankings by Subject, NTU was ranked 2nd in the world for Artificial Intelligence (AI) and Computer Science. It also ranked 5th in the world and 1st in Asia for Data Science and
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Faculty of Medicine and Health Sciences in partnership with the Quadram Institute Norwich Medical School Jonathan Knowles' Research Fellow: Brain-Gut Axis Ref: RA2365 Salary on appointment will be
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holiday allowances, flexible working, pension scheme and relocation package (if applicable). Job category/type: Research Job reference: R07291 Faculty of Health & Life Sciences The above full-time post is
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lab has an outstanding track record in developing and applying cutting-edge genetic, genomic, and systems biology approaches to study neurodegenerative disorders including HD and Alzheimer’s disease (AD
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of genomic stability and DNA repair mechanisms in human cancers. The candidate will work in a cutting-edge research environment with access to advanced molecular biology tools and technologies. Located in
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cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal
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status and have privileges to apply for external grants to expand their research program. The Fellows will have a strong support network and opportunities to build a highly interdisciplinary and
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postdoctoral fellow to study HIV-1 vaccine immunology. We use an interdisciplinary approach combining structural biology, molecular biology, biochemistry, and immunology to generate insights that can be
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biomedical sciences. · Proficiency in biochemical techniques, molecular biology skills, and cell culture. · Research experience with in vivo animal models. · Evidence of scientific