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University of the Arts London, London College of Communication; | London, England | United Kingdom | about 2 months ago
The opportunity Join University of the Arts London (UAL) and play a vital role in shaping, supporting and coordinating Digital Learning activities within London College of Communication (LCC) and
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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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. 132, no. 3, pp. 1521–1534, 2012. [6] S. Koyama, J. G. C. Ribeiro, T. Nakamura, N. Ueno, and M. Pezzoli, “Physics-informed machine learning for sound field estimation: Fundamentals, state of the art, and
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their concerns. Responsible for developing and maintaining partnerships throughout the College. Coordinates and facilitates interactive workshops and engagement opportunities that promote experiential learning
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Information Technology Services Office Assistant Manager (Teaching & Learning Support) (Ref. 260305006) Duties The appointee will work in the User Support Services Section and will be required
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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. Qualifications Applicants must hold a PhD or equivalent qualifications in a relevant field, such as Child–Computer Interaction, Human–Computer Interaction, Learning Sciences, Educational Technology, Computer
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Arts & Science is seeking an experienced Machine Shop Specialist to oversee the design and fabrication of experimentation parts using manual and CNC lathes and milling machines, drill press, band
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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of geothermal energy systems, the storage of energy sources and technologies to couple the energy sectors of heat, electricity and transportation. Machine learning and deep learning methods are increasingly