55 computer-vision-and-machine-learning Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing
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Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
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We are seeking a computational glycobiologist to join a multidisciplinary project developing next-generation enzymatic tools for antibody glycoengineering. The role will focus on applying state
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) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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pressing challenges. We are seeking a Research Fellow in Molecular Dynamics and Computational Chemistry to join the School of Electronics and Computer Science (ECS) at the University of Southampton
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The Faculty of Medicine Genomic Informatics Group invites applications for a 3-year full time fixed-term postdoctoral position of Research Fellow or Senior Research Fellow in Genomic Informatics to
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal