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that process planning has a high potential for automated optimization. Building upon this, you will advance our optimization pipeline and evaluate different optimization algorithms/strategies. What you will do
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of novel algorithms to analyse short tandem repeats from short- and long-read sequencing data. Knowledge of current analytic approaches for obtaining insight into the aetiology of mendelian and complex
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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of the Algorithms and Performance Analysis (APA) group, work with NCCS users across a wide variety of computational domains to enable their efficient use of the world class facilities provided by the NCCS. We seek
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will work with VFD Pro Limited and the University of Southampton Business School’s FinTech and AI experts to embed and commercialise AI platforms, algorithms, and tools critical to VFD’s vision
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: - Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. - 12+ years of professional experience - Successful experience with modern software languages such as one
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transform school meal monitoring in Kenya through AI-assisted technology. This position will lead the development and deployment of the PlantVillage Food app, which uses computer vision and large language
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, statistics, formal methods, numerical methods, computational modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system