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, energetic materials and propulsion, electronics technologies, network sciences, quantum information science, virtual interfaces, and synthetic environments and autonomous systems. They are leaders in modeling
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networks. The interdisciplinary approach of DYNABIO bridges biology with computer science, mathematics, chemistry, and physics. Research carried out within DYNABIO teams spans a wide range of models and
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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of the production of future food and alternative proteins, priority areas of interest are highlighted below: Cultivated meat: examples include a research program on cell line development, cell
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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of whom will be able to share their experience in the development of applications. The career development of our LMCB fellows is supported via our mentorship programme and networking opportunities
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the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Our aim is to trace
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website). We encourage applicants to suggest new ideas and/or new methodological approaches that could advance our existing research program. The selection of the fellows will be made in a two-step process
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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