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Field
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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. You will be working at the intersection of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping
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and behavioural data, in combination with vehicle telemetry, to predict a driver’s subjective tire handling rating. Knowledge-driven models using ontologies will be explored here with XAI models
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methodologies, including experimental design and data-driven modelling How to apply Interested applicants should contact Carl Diver (c.diver@mmu.ac.uk ) for an informal discussion. To apply you will need
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Intelligence-Driven Design of Ternary Alloy Electrodeposits: Deciphering the Interplay Between Plating Mechanisms, Process Parameters, and Coating Properties A PhD position is available in the Department
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi
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the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
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programming (e.g., Python, MATLAB). Energy system modelling expertise with experience in academic research Preferred Skills: Educational background in Electrical Engineering, Computer Science, Renewable Energy
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evaluate feature engineering and data representation strategies for heterogeneous datasets obtained from material synthesis, characterization, and functional testing. Apply uncertainty-aware modeling, active
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pursuing a doctoral degree in Computer Science, Electrical Engineering, or Telecommunications and Information Technology Engineering. Must have knowledge of software development, event-driven business