65 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" uni jobs at Imperial College London
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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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data is modelled and processed—unlocking new capabilities in generative AI, anomaly detection, and real-time decision-making. What you would be doing: Key scientific challenges you’ll help tackle: Next
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collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Please see our Further Particulars for more information about Imperial and the
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the skilled worker visa route, so any successful applicant would need to hold or be able to independently secure a visa with UK right to work. Further information about the Science Communication Unit can be
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You will provide technical support to the Tate Group with a primary focus on running, optimising, and expanding chemoproteomics workflows. You will be responsible for sample preparation and data
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Imperial College London invites applications for the following two positions: Assistant Professor in Health Data Analytics Assistant Professor in Environmental Epidemiology and Data Science This is
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to transform how we understand and effectively use data across Imperial. Imperial is recognised worldwide for being at the forefront of education and research and, at the foundations of our academic excellence
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, you will handle sensitive information in line with data protection legislation and Imperial policies, while delivering a courteous, flexible, and customer-focused service in line with Imperial’s Values
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spans multiple years and involves close coordination between academic units, professional services, digital systems and external requirements. REF 2029 will require the integration of diverse data sources
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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