35 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Imperial College London in United Kingdom
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methods for predicting the synthesisability of organic molecules Develop and apply informed machine learning methods to chemical problems If appointed at a higher spine point: To assist in the day-to-day
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The role will engage in cutting-edge translational research that develops computational models for predicting outcomes in cardiac diseases. This includes a machine learning model to rule out heart
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Are you passionate about digital learning and ready to shape the future of education in Imperial College London? Join us as a Learning Technologist and take a lead role in the implementation
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technician consisting of experimental chemists, computational chemists, and computer scientists specialising in AI. You are also expected to have the opportunity to engage with events, training and personal
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning
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of Professor Ed Tate at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning
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of Professor Ed Tate at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning
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requirements and constraints. Cloud Facilities Administration: Manage our cloud infrastructure on platforms such as AWS, GCP, or Azure, with a focus on GPU and computer-intensive resources. Performance
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, including further information about the job description, person specification and how to apply, please visit: https://plusportal.perrettlaver.com/VacancyDetail/bca4fe52-3d74-9513-d9cb-3a1d5bdf99b5 quoting
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and verbal. Strong organisational and time-management abilities. Confident in using databases and learning bespoke systems. Ability to triage and respond appropriately to emotionally sensitive or urgent