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the UK) and work within the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods for precise genome manipulation to create transgenic reporter models
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, including deep neural networks and physics-informed neural networks, to analyse large datasets from gyrokinetic and fluid simulations of plasma turbulence Develop and train reduced-order models that capture
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, The Open University or the University of Oxford. Fellowships are aimed at those in the immediately postdoctoral stage of their career, to provide the opportunity to consolidate their PhD through developing
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requirements. The role contributes to the development of personalised interventions informed by both clinical expertise and lived experience. The position is responsible for supporting the coordination and
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enable real world application. Fellows will gain hands-on exposure to translational science, drug discovery, and technology development, with opportunities to contribute to intellectual property
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of human embryonic development, especially regarding the emergence of the body plan. Research in the Developmental Models laboratory aims to uncover the principles of human development using cutting-edge in
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 4 days ago
various stages of parasite development. This is a pioneering project that seeks to define the global post-transcriptional regulatory processes involved in parasite transmission. The results of these studies
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the development of excellent doctoral and postdoctoral training programmes and collaborative research projects worldwide. By doing so, they achieve a structuring impact on higher education institutions, research
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As Computational Senior Research Fellow, you will: · Develop cutting-edge methods to predict which somatic mutations drive clonal expansion · Integrate large-scale multimodal omic datasets from healthy