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, reptiles, amphibians, insects. Demonstrated experience using machine learning algorithms and Bayesian statistics within the R-language. Equipment Utilized Advanced computing systems. Physical Demands and
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clinical trials. This includes the design of a data model, building and testing projects within the data model and end-user testing. Some projects may also require algorithms or other calculations be built
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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scientific questions or develop algorithms that perform automatically some challenging tasks. This typically involves exchanging actively with collaborators and domain experts to understand the precise
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to commercial software and algorithm development. You are not expected to be an AI expert
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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, clustering, dimensionality reduction) to extract meaningful insights from multi-modal data. ● Develop and implement algorithms to process, clean, and transform large datasets to support research objectives
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, collaborating with biologists, oncologists, statisticians, and other computational/ML scientists to translate computational findings into therapeutic strategies.-Design, debug, and optimize algorithms and