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at the Turing is looking to expand its Applied Research Group (ARG), working on real-world cyber security and machine learning problems for defence and national security stakeholders. As a team, ARG
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partnerships. With world-renowned researchers and a passionate student body, it is committed to encouraging innovative and progressive collaboration, as well as new ways to work and learn. The Faculty has a
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Role Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, communications, machine learning, and reasoning - has been
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. UpToDate knowledge of machine learning methods applied to clinical or omics data 2. Research experience in Neuroscience 3. Experience in grant writing 4. Experience in supervising staff and
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and health and safety regulations Advantageous skills include - experience in electron microscopy, machine learning, microfluidics - previous experience working in commercial companies or bio-foundries
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Job description The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations
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structural design, wave-tank experiments, energy system design, mooring design, machine learning, floating solar technologies, and previous experience of working in large international collaborations. Being
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Western University, Department of Civil and Environmental Engineering | London Central, Ontario | Canada | 21 days ago
undergraduate and graduate courses within the Civil and Environmental Engineering program. Ability to teach environmental engineering courses such as digital water infrastructure and machine learning for water
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their own niche of professional training and development. Examples of projects from the lab include identification of cancer drivers in individual patients using machine learning (Mourikis Nature Comms 2019
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]. Insufficient knowledge on integrating big data and machine learning (ML) for optimising battery use, maintenance, and end-of-life decision-making within BaaS models: The potential of data analytics