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multidisciplinary framework that blends techniques from Complex Systems (CS), Machine Learning (ML), Natural Language Processing (NLP) and Network Science (NS) to define new metrics for facilitating the comparison
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for candidates to have the following skills and experience: Essential Criteria PhD in Psychology, Behavioral Science, Epidemiology, or a closely related field, with a strong emphasis on military health* Expertise
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computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
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; Disease modelling and novel therapeutics; and Applied machine learning. The post will be supported by a 3-year PhD studentship. Key attributes of the successful applicant include: BSc and PhD in
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specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track
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with an excellent track record in knowledge graphs and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph
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Iknaia Ltd. The task is to design, develop and evaluate AI driven construction safety systems, that use knowledge graphs in connection with machine learning models applied to camera and sensor data
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specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track
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mechanics code capable of modelling arbitrary configurations. The project will investigate the possibility of using AI and machine learning in shear band modelling, developing a deep insight in which
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and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London. Person specifications: Master degree in machine learning