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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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fractures and the cause using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data. Responsibilities
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understanding. The successful candidates will be responsible for conducting cutting-edge research in machine learning, multimodal data analysis, and video understanding applied to social media data
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the field of applied quantum algorithms and quantum computing. We welcome the applicants with background in various research subjects, including but not limited to quantum optics, groups and algebras, machine
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or machine learning models (particularly spatio-temporal methods), data processing and visualisation. Agricultural systems, agricultural economics and associated policy environment. Working in
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programmes. Applicants will be expected to learn how to perform cloud model simulations and analysis of climate model data, and will preferably have an appreciation of the role of aerosols in climate change
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be responsible for conducting cutting-edge research in machine learning, multimodal data analysis, and video understanding applied to social media data. Responsibilities: Conducting research
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require knowledge of both languages and you must be happy learn the other language if you are not experienced. We are not expecting you to be an expert in all forms of computer simulation and web deployment
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IoT, sensors, Blockchain, AI, and Machine Learning tailored to address these needs. The role may require the postholder to develop a comprehensive strategy for investigating the role of testbeds in
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implement algorithms, analysis methods, visualisation tools and machine learning approaches to interrogate multimodal ‘omics datasets. You will create mathematical and/or computational models