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relevant Master’s degree in creative or performing arts or documented equivalent competence. Relevant academic backgrounds might be creative music technology, sound art, computer music composition, creative
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
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) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
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, to further advance the practical, everyday use of the technology. Qualifications Applicants should hold a MSc in electronics, computer engineering, biomedical engineering, Physics, or a closely related field
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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to $5000 (total) for computer / software / conference attendance to present PhD results. Scholarship Details Maximum number awarded 1 Eligible courses Higher degree by Research (PhD) – in Health Sciences
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, Human Computer Interaction Design , Sociology , and Creativity in Leadership (Bayes Business School). The University of Warwick’s Centre for Interdisciplinary Methodologies fosters innovative and
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators