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Field
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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with excellent English proficiency to explore this fascinating intersection of experimental physics, machine learning, and complex systems. A background in optical microscopy and machine learning is of
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and physics is curious, open-minded, a team player, and well organized has interest in modelling complex systems, ideally for particle radiation effects. Experience in these areas is therefore highly
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hydrological community. Alternatively, it is well known that Neural ODEs [2] are capable of representing dynamic systems that are coded in ODEs. They can encapsulate the complex temporal dependencies and
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/ slot die coating. The screen-printing process is scientifically complex; a non-Newtonian multi-phase elastic material (containing conducting/semi-conducting particles, organic binder and solvent) is
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complex transport systems: Perception: Developing robust models to handle noisy, complex spatiotemporal data, integrating physical constraints, and generalizing from limited labels. Decision: Designing
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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Project details: Surface features are important in additively manufactured parts. While additive manufacturing technology has made great strides in the realisation of complex shapes, topologies and
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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arbitrary complexity and shape at the sub-nanometer scale. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the