22 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Waterloo" positions at UNIVERSITY OF SURREY
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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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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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covering all major compliance domains – including fire safety, water hygiene (L8), asbestos (CAR 2012), electrical and mechanical testing, LOLER / PUWER inspections, and DSEAR activities. This role requires
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to 3Rs objectives in cancer, pain, vascular and gut research. A proven track record of substantial external research grant income generation A proven commitment to delivery of inspiring, engaging learning
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, professional services colleagues, visiting artists, and students, you will help deliver high-quality technical solutions that support learning, performance, and public engagement. You will play a key role in
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, physiology and general medicine, and specialities. The first year of the course is structured in themes, based around clinical cases, which enables medical students to learn clinically relevant biomedical