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Field
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supporting documentation, proven experience in all of the following areas: natural language processing and machine translation (sequence-to-sequence modelling, NMT, glosses); deep learning, Transformers, and
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-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction. • Device modelling and simulation: Model carrier transport, charge-state dynamics
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for dynamic FR3 programmable wireless environments. The work will focus on theoretical modeling, algorithm design, simulations, experimental validation, and testbed-oriented research for 6G wireless systems
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coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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modelling or simulation would be an advantage. Strong analytical and data visualisation skills, with the ability to interpret and present complex technical results clearly. Ability to work independently
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development of novel approaches for clinical natural language processing specifically looking at the use of language models for coding clinical texts, and with a particular focus on explainability methods to be
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deployed inside an XR space. This agent will serve a dual development goal: functioning as an interactive, simulated guide that outlines the features of the UTOPIA Lab and acting as a spatial manipulation
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, including the production of analytic solutions, simulation studies, software tools and training materials. Role Summary Work within the specified NIHR-MRC funded research grant to develop sample size