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precision. You will have a positive attitude, good work ethic, and dedication to continuous learning. Additionally, experience with database software like Filemaker Pro and Access would be advantageous, along
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with a research profile in fields such as data science, statistics, computer science, machine learning, natural language processing, computer vision, computational social science, or related areas
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Joint Data Team (including machine learning researchers, statistical geneticists and data managers), enabling effective use of the joint data platform. You will be responsible for the hands-on development
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. It is preferable that you have experience using machine learning approaches, and experience analysing spatially resolves, multi-colour immunofluorescence imaging date. A working knowledge of
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. You will be learning by working on traditional handcrafts of fitting and building devices as well as new modern CNC machines. As part of this role, you will undertake an Apprenticeship with Abingdon and
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to date computer literacy skills, be familiar with Microsoft and web-based packages and consistently apply attention to detail. You demonstrate a willingness to learn new skills to operate changing IT based
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of next-generation observatories to study exoplanet atmospheres. Listen’s specific focus is on identifying artificial molecules and other technosignatures. Machine Learning and Anomaly Detection Application
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of next-generation observatories to study exoplanet atmospheres. Listen’s specific focus is on identifying artificial molecules and other technosignatures. Machine Learning and Anomaly Detection Application
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for agent-based models (with particular interest in probabilistic programming); populating agent-based models with realistic agent behaviours (e.g., using machine learning techniques); calibrating large-scale
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PhD in marketing) or a background in a related discipline where their research focuses on marketing issues (e.g., information systems, computer science, machine learning, computational social science