16 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Manchester in United Kingdom
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This is a senior appointment, and the successful candidate will be expected to conduct internationally leading research in area of structural composites within the Department of Materials
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the Manchester Institute of Biotechnology (MIB) under the supervision of Dr Sarah Lovelock. Nature uses twenty canonical amino acids to produce proteins with diverse structures and functions. However, these amino
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structures. Generative Design & Latent Space Optimisation: Leveraging generative models and agentic architectures to automate the discovery of high-performance structural configurations of medical devices
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cutting-edge techniques that combine 3D imaging with elemental and structural analysis. You’ll be part of the National Research Facility for lab X-ray CT (NXCT) and collaborate closely with the Ghent
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models. Geometric Deep Learning for Structural Synthesis: Leveraging Graph Neural Networks (GNNs) and manifold learning to optimise complex geometries in medical device design and advanced manufacturing
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. For more information please visit https://www.se.manchester.ac.uk/ . The Particle Physics group supports a broad research programme in both experimental and theoretical particle physics. The group comprises
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with senior leaders and diverse teams Experience producing high-quality reports, briefings and committee papers to support effective decision-making A structured and analytical approach, with the ability
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the structure and function of the blood-brain barrier in vitro. During this position, the post-holder will undertake a range of activities including establishing in vitro models of the blood-brain barrier using
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Hub’s research activities are centered around five key themes. For more information, see: https://www.probai.uk https://www.probai.uk/research-themes/ The recruited PDRA will join a large existing inter
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About the role: This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure