4,025 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions in United Kingdom
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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
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teaching, particularly in the area of Machine Learning. In addition, you will be expected to contribute to the whole range of teaching and administration across the University’s data science programmes
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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languages and environments. Experience with machine learning and AI in biomedical settings would be considered favourable. You will also need a problem-solving ability to manage and analyse datasets and the
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an integral part of UWA’s academic community. It will offer various degrees in Computing with subjects across Computer Science, Philosophy and Statistics including software engineering, computer systems
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, install, commission and maintain compute and data storage resources supporting the research of the Institute, including Machine Learning. • Assume technical and organisational lead responsibility for one
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Professor in Bioinformatics Education to support teaching across our portfolio. It is expected that the post-holder will support teaching in Machine Learning related modules. The post-holder will be expected
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with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications (e.g., health, cybersecurity, robotics, or business
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foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands