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Field
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experimentation via laboratory automation and III) AI navigation of the complex landscape described. This powerful combination not only supports the creation of AMP based nanomedicines, but also addresses a central
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the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: - Automate defect detection in complex 3D structural data - Enhance diagnostic accuracy and processing
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About the ProjectProject details: Next-generation networks are rapidly outscaling the capabilities of traditional management paradigms. While early AI/ML models offered a degree of automation, they
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focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common interest
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requirements. The resulting tools will support automated mesh generation and adaptation, reduce manual tuning and improve the reliability of simulations involving geometry driven behaviour across multiple
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Scientific Questions: How can haptic training improve operator skill acquisition in nuclear teleoperation? Which trajectory features best capture expert skill, and how can these insights improve robot control
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beyond (happy to support applications of candidates for whom an offer has been made). I will also be recruiting a postdoc in a similar research space for an October 2026 start, so in case you know
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by UK utility SP Energy Networks, and is used to automate the selection, siting and sizing of network operator-owned active PEDs. An initial design for the Tool has been developed through 2025, and
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and external partners. Benefits: Automation of screening with ML can enable more regular eye screening for patients. This will reduce the undetected cases of retinopathy, enable retinal issues to be
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned