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Methods Soft lithography and microfabrication to create defined surface landscapes. • Mating assays between resistant and sensitive Enterobacteriaceae strains. • Live-cell imaging and fluorescent plasmid
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within a highly collaborative setting, benefiting from access to the UCL Automation Network and cutting-edge facilities for structural and biophysical analysis. The project is well-positioned to deliver
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uncertainty in meteorological forecasting, contrail process modelling, and satellite observations to quantify the skill of impact forecasts. PhD (or equivalent) in either aerospace engineering, software
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research environment to grow as a research leader. We will support you in future funding proposals & applications and fully include you in any collaborations/networks. Opportunities for professional
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funding proposals and applications and fully include you in any collaborations/networks. Opportunities for professional development, e.g. through the award-winning Early Career Researcher Institute
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core stages: Data Integration and Preprocessing: Develop a scalable, automated pipeline to collect, synchronise, and merge heterogeneous datasets from sources including OpenFlights, OpenSky Network
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– such as tandem neural networks , video diffusion models , and reinforcement learning – will be explored to efficiently navigate these high-dimensional, nonlinear design spaces. To achieve robust property
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . Further Information: This is a full-time and a fixed term