29 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at Imperial College London
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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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We are seeking a senior learning designer or experienced educator with relevant experience to work on the design, development, and delivery of a new MSci blended on-campus programme at Faculty
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innovate through hands-on learning experiences. The workshop has a variety of tools from 3D printers and laser cutters to sewing machines and woodworking tools. This unique immersive environment provides
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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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, machine learning, or data assimilation, with an interest in large language models and emerging AI methods The ability to work independently and collaboratively within an interdisciplinary and international
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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
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of people who are dedicated to helping young people innovate through hands-on learning experiences. The workshop has a variety of tools from 3D printers and laser cutters to sewing machines and woodworking
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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