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genetic correlations, development and evaluation of polygenic scores, and integration of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
management software and the ability to manage own areas of responsibility independently without constant direct supervision. Experience in Stata and Python is essential, and machine learning is desirable. We
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teaching, learning, and assessment across our Hair & Beauty curriculum. You will play a key role in ensuring learners receive an excellent educational experience, supporting their progression into employment
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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experience, ranging from mathematical to engineering, and a passion for, or experience in delivering real world impact via machine learning applications. Experience in; AI security applications, agentic
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, with various start dates. If you have difficulty accessing a computer, please call 029 2087 6137. Benefits We offer a leading and rewarding staff benefits package: 32 days holiday per year plus 8 bank
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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Super-Resolution Radial Fluctuations (SRRF) approach. The objective is to build machine-learning models that exploit the underlying physics of fluorescence fluctuations to deliver high-resolution, low
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tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle
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and spacious learning and working environment. ABOUT THE ROLE We are looking to appoint a Lecturer to join the Foundation Degree programme, teaching Accounting, Finance and Business Law related modules