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fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) . Your immediate leader will be the leader of the Software Engineering unit . About the project This PhD
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electric mobility and smart energy management. We design and implement charging infrastructures and advanced energy optimization systems, combining engineering, proprietary software, and strategic vision
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: PhD degree in veterinary medicine, animal science, zootechnical engineering or related areas, and a scientific and professional curriculum whose profile is suited for the activity to be performed can
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contexts, or a strong motivation to explore how different groups of learners appropriate AI-based tools. A strong technical background, ideally in computer science, software engineering, human-computer
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. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop
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FTE: 1 (35 hours/week) Term: Fixed ( 24 months) The Position This will involve experimental design, software development and data science, carrying out research and development of models to predict
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How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780
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Degree in Chemical Engineering, Materials Engineering, Chemistry, or similar combination of education and experience (Required) PhD Ph.D. in Chemistry, Chemical or Materials Engineering, or similar field
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2