30 computer-science-intern-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions at Nature Careers in United States
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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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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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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
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of Laboratory Medicine, NIH Clinical Center on the main Bethesda NIH campus. Requirements Ph.D. in genomics/genetics, molecular biology, biochemistry, immunology, or related discipline. Prior experience in cancer
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conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA
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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