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. This collaboration fosters a strong interdisciplinary environment across institutions, leveraging complementary expertise in statistical genetics, biomedical data integration, and computational method development
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of the Quadram Early Career Fellowship programme are for the successful candidates to: • Initiate an independent research programme at QIB to generate preliminary data in support of fellowship applications
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creative Postdoctoral Fellow to join our multidisciplinary team dedicated to investigating the causes and consequences of somatic mutations in cancer. Our lab integrates cutting-edge computational and
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AI for the benefit of society, and also includes a significant investment in computing infrastructure along with 6 senior professorial posts. The AI+ Academic Fellowships aim to attract the brightest
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research clinicians concerned with both basic immunological principles and understanding the immune response through treatment. The post holder will be based within the largest CAR T cell program in Europe
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of immune cells as key regulators of the tumor microenvironment. Collaboration with pathologists for tissue imaging correlations and with computational biologists is expected. The work will largely involve
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, life sciences, computational sciences, behavioral sciences, or engineering by October 1, 2025. Applicants who intend to defend their dissertation after October 1, 2025, are not eligible. May not be
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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at the intersection of psychology and biology, who thrive in interdisciplinary research environments! Disciplines Biomedicine, life science, health science, psychology, computing Application The application should be
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selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised