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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 3 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 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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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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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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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
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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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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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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical