114 software-verification-computer-science Fellowship research jobs at Nature Careers
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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join our team in developing innovative CAR-T cell therapies for colorectal cancer. Our lab focuses on engineering immune cells with greater precision, persistence, and safety, using synthetic biology
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preferred) Training in molecular and cellular biology Proven track record of successful research projects and publications Excellent analytical and problem-solving skills Effective communication and
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occasions of interaction with world leaders in the fields of cancer, basic immunology, and cancer immunology (see Ph.D. lecture series at https://ior.usi.ch/education/phd-program ). The lab of Prof. Andrea
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category/type: Research Date posted: 16/05/2025 Job reference: Q05296 Faculty of Health and Life Sciences This new full-time post is immediately available until 30 June 2026 on a fixed term basis. The post
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Health and Life Sciences (HEALS) Initiative. The fellowship is designed for outstanding early-career researchers working in areas such as AI and health, low-cost diagnostics, therapeutics, neuroscience
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CDE base. It also houses 1 national key laboratory, 1 national clinical research center of the Ministry of Science & Technology, 1 basic science center of the National Natural Science Foundation
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, and mass spectrometry) and a highly collaborative, interdisciplinary environment in Dana-Farber’s Longwood Center. We are part of the Chemical Biology program at the Dana-Farber and the Department
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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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the broader scientific community through writing papers, presenting at conferences, and writing grants. Employ computational approaches to analyze complex data sets, including next generation sequencing data