42 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs at Nature Careers in United States
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-performance computing clusters (>105,000 processors). This unique interdisciplinary environment emphasizes the integration of AI in life sciences, offering an outstanding platform for recent Ph.D. graduates
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Dana-Farber Cancer Institute, the Broad Institute, and more Mentor and guide junior staff and students Qualifications Ph.D. in bioinformatics, computational biology, statistics, data science, machine
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approach is transdisciplinary, transformative, and co-creative. The RIFS awards the Klaus Töpfer Sustainability Fellowship as part of its Fellow Programme. Prof. Dr Klaus Töpfer was the Founding Director of
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of Population Sciences, seeks a highly motivated postdoctoral fellow in the McGraw/Patterson Center for Population Sciences. The Center is committed to population-based research aimed at detecting cancer early
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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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interventions with a goal of developing new stroke and aneurysm treatment strategies. Prior lab experience with molecular biology techniques (CRISPR/Cas9) and animal handling is required. REQUIRED EDUCATION AND
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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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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