31 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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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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, 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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should hold a masters and PhD level qualification in a relevant subject (e.g. Bioinformatics, Computational Biology, Computational Systems Biology, Data Science, Biostatistics, Machine Learning
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. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches, into simulation design. Conduct
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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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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languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning
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Higher or Further Education Experience of working in a busy customer focused environment A high level of literacy and the ability to express ideas clearly and concisely A high degree of computer literacy
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improvement in the student learning experience. Degree, apprenticeship, or equivalent experience in a bioscience, bioengineering, or related laboratory discipline Appropriate professional registration (e.g
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this role you will lead and be accountable for the day-to-day management and effective communication of all matters relating to stores, logistics, car parking, waste, recycling, and postal services across all