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for research into thermal management and system health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical
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turbines represented using an actuator-line approach, assess the applicability and limitations of reduced-order models in predicting turbine performance, and develop machine-learning surrogate models capable
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role, structured training and development, excellent benefits and conditions of employment, including a pension scheme, generous holiday entitlement, car parking and use of College facilities. Job
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proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff
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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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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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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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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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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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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