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Field
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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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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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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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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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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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for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex mechanical behavior in engineering materials at different length scales (e.g, plasticity
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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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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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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
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models often fail to capture sex diversity. Our NWO Vidi Grant project, “Breaking BIASmechanics”, aims to change this by creating innovative technology for generating accurate musculoskeletal models