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that lower the carbon and computational footprint of training and inference. Parameter-efficient fine-tuning: Harnessing large foundational vision–language models using adapters, LoRA, low-rank updates, and
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication and
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(both theoretical and applied), Microeconomics (applied micro, labor, health, industrial organization, financial economics) or Applied Econometrics (including causal inference, machine learning, program
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the UKRI Future Leaders Fellowship “AI-Driven Inference for Gravitational Waves: Accelerating Discoveries in Fundamental Physics” (PI: S Green). We believe that talented and inclusive teams deliver
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from previous years will be available for all modules. They can be reviewed, edited or adapted to suit your own philosophical vision. You will have an excellent track record of delivering quality
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have a proven track record of building successful partnerships in complex organisations, delivering outcomes that benefit multiple stakeholders. You’re a confident leader and communicator, able
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workstreams within the Future Nottingham Phase Two programme Ensure HR activities are well-sequenced, aligned to strategic objectives, and delivered on time Provide oversight and tracking of progress, risks
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team. Candidates should have a degree or equivalent qualification in a relevant subject, and/or significant experience as a clinical trial manager/coordinator, along with a track record of successful
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Relations, Comparative Politics, Political Economy. Especially attractive will be someone with a track record in quantitative research methods, data science or (political) philosophy. Experience with
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the survival of breast cancer patients. The Nottingham Breast Cancer Research Centre is pleased to offer a fully funded PhD research studentship. We have a longstanding research interest, and international track