59 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at UNIVERSITY OF SURREY
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Python and C++ with relevant computer vision, signal processing, machine learning and/or deep learning tools (TensorFlow, PyTorch, Keras, OpenCV etc.). A track record of publishing academic papers, open
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holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
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from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning, organising, and maintaining accurate records of all datasets associated with
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relevant defective information and repairs. All defects to be reported immediately to the help desk for further action. Must be computer literate and work well with computer/tablet systems What’s in it for
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evidence of their capability to teach marketing analytics and related areas across the curricula of UG and PG programmes. Industry experience, particularly in marketing-oriented roles with either MNCs
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week (21.6 hours). About the role LVCPs act as clinical and personal tutors to our final year students, supporting their learning and facilitating their transition to new graduates, whilst also
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adults and people with learning disabilities. Successful candidates will: Work effectively as part of a team Be committed to developing trainee clinical competencies Ideally contribute to the programme’s
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organisational skills. You should possess good IT skills, including MS Office and must be willing to learn the different University IT systems. What’s in it for you? We think Surrey is a fantastic place to work
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experience working in a relevant administrative role, with excellent IT skills including MS Office, Teams and SharePoint, along with the ability and willingness to learn bespoke software systems. Experience
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meeting rooms, reception cover, and assisting with school events and conferences. There’s lots of variety, lots of interaction with academics, research colleagues and students and the opportunity to learn