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the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process
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, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures
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Si photonics and material integration technology, while Southampton can provide the state-of-the-art MEMS, NEMS, and Metasurface technologies. Starting from the development of individual MEMS/NEMS
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. The lead applicant Tokyo Tech team has strong expertise in Si photonics and material integration technology, while Southampton can provide the state-of-the-art MEMS, NEMS, and Metasurface technologies
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either photonic structures or optoelectronic device fabrication and characterisation. Strong experimental skills in at least one of: nanofabrication, electronics, materials development and processing
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22 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 18 May 2026
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experience in Acoustics, Mechanical Engineering, Physics, Signal Processing or a closely related discipline. Strong practical experience in experimental acoustics/instrumentation (sensor selection, data
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically active crystal – rare-earth (RE) doped sapphire (REDS). The EIC-funded
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28 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application