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Field
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implementing CRISPR-based genetic and pharmacologic screening approaches. Exploring enhancer biology and three-dimensional genome architecture through advanced genomic technologies. Conducting molecular analyses
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design and feedstocks, including software architecture and database, for eventual use as a new application. Lead the literature review on thermochemical conversion, biomass pyrolysis, coupled CCUS/PtX
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at the intersection of structural engineering, architecture, robotics, and computation? As part of an EU-funded research project, we are establishing an interdisciplinary research team, in partnership with leading
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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environment. Preferred Qualifications: Experience with AI/ML approaches for spatiotemporal or Earth system data, including transformers, multimodal learning, representation learning, or related architectures
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, and sustainability-focused, matching the complexity of cities with the disciplinary expertise to match. We focus on everything in cities, from sustainable architecture to transportation to engaging
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, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the
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Laboratory. You will be responsible for: • Advancing numerical modelling methodologies for 3D woven composites • Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms. The Research Assistant will be
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for a highly motivated individual to join the research project “Fault system architecture in the Liverpool Bay area (UK)”. The UK will need to capture and store millions of tonnes of CO2 per year as part