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dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to support world-class research in an interdisciplinary team. The project focuses on understanding the language learning
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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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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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administration. As a central professional service, the Academic Registry plays a crucial role in supporting university life and advancing learning and teaching through its operational services and academic policy
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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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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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understanding of and experience with programming using Python for machine learning, C# and C++ Essential skills and experience: A PhD in computer science, AI, software engineering or a similar technical field, or
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to risk assessments, toolbox talks and safe working practices Assisting with site operations, such as car park management, events support and weather-related duties Participating in an out-of-hours call-out
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deployment. Modern data infrastructure for AI, such as graph and vector databases and other emerging solutions designed to support machine learning workflows. Large Language Models (LLMs), and Retrieval
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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