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Field
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of expertise for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning
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adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel
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Partnership (KTP) project between Loughborough University and Nationwide Air Conditioning, funded by UKRI Innovate UK. The project is to develop an AI-powered system that automates the generation of service and
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computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please email Prof. Muhammad
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seeking to recruit one post-doctoral researcher. Job Description The candidate will participate in the R&D activities of FORTH-IESL within the COLOURS project, working on the development of algorithms and
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leverage their expertise to develop innovative algorithms for data analysis. Additionally, they will be responsible for communicating their findings to the scientific community through academic meetings and
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-Making and Route Optimisation: Develop adaptive algorithms within a bias-aware ensemble Kalman filter framework to propose alternative flight paths dynamically. The system will aim to maximise safety and
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students to become experts in a specific domain of choice. This vacancy is explicitly targeted at candidates interested in algorithmic biases and developing methodological approaches to tackle this challenge
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validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations uncooperative spacecraft . Develop novel methods
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance