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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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already been implemented, although some optimization may be required; Characterization of upstream salt transport mechanisms and total fluxes, based on an integrated analyses of field observations and model
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explore relations between energy and non-classicality, both to provide new ways to characterize non-classical quantum states of light, and optimize processes to produce them. Context and goal of the project
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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to characterize and manage fracture connectivity and optimize fluid distribution within granites and sedimentary rocks, maximize heat sweep efficiency, reduce preferential flow through highly conductive fractures
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technologies, including the development and experimental validation of waveguide-integrated SNSPD devices; process integration; optical coupling optimization; on-chip detection-efficiency measurement; timing
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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to synthesise drug-like compounds Maintenance of key instruments Contribution to lab duties; e.g., purchase of chemicals Drafting reports and papers Job Requirements: A PhD in organic chemistry. Prior experience
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English PhD Research Fellow in fairness in artificial intelligence Apply for this job See advertisement About the position We invite applications for a PhD Research Fellow position in fairness in artificial
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that interact in ways we often don't fully understand. This complexity poses a significant challenge when we attempt to optimize manufacturing processes, introduce new materials, or enhance efficiency. While