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and validate a prototype microscope with enhanced sensitivity and contrast, evaluate label‑free and fluorescence imaging modes, and develop robust hardware/software workflows for low‑light measurements
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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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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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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
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environmental mass spectrometry and/or environmental microbiology, to join the QAEHS Environmental Toxicology Theme led by Professor Kevin Thomas. This team, working alongside industry partners, works to develop
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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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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
under abbreviated new drug applications (ANDAs) and NDAs. The project will identify and develop in vitro, in vivo, or in silico techniques that may be capable of determining how various complexity factors
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 9 hours ago
both the development and regulation of oligonucleotide drugs. Learning Objectives: Under the guidance of the mentor, you will receive instructions on utilizing chromatography, mass spectrometry, and
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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