41 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Imperial College London
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contribute to the development and enhancement of reporting tools and frameworks, utilising artificial intelligence and machine learning to maximise the use of data, while ensuring that data is accessible
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Machine Learning (ML) models to build a chemical ‘rule book’ for small molecule accumulation in bacteria. The position is available full time, starting in February 2026 (or as soon as possible thereafter
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(AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for small molecule accumulation in bacteria. The position is available full time, starting in February 2026 (or as soon as possible
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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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(ECRI), you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers. Working as part of a collaborative and dynamic
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, ideally applied to computational protein design, molecular modelling, or machine learning for biomolecular systems. Practical experience in molecular cloning, protein expression, purification, and
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support, and manage the safe operation of shared equipment areas as well as supporting tours and VIP visits. You will also onboard and induct all new clients, helping them to learn how to use state
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postgraduate students, as well as postdoctoral staff in robotics and robot learning applications. The staff member will be required: To enable excellence in robotics research by providing expertise in
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. Alongside this, you will lead and develop the People Security Policy, manage key supplier relationships, and drive continuous improvement through effective governance, data, insight and learning across
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diverse areas transform the world for the better To deliver our events/programme, we work with staff across all departments and Institutes within Imperial, which creates extra opportunities for learning