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and responsibilities Provide assistance in the development and integration of coding, programming and electronics to support Industry 4.0 manufacturing orientated applications. Assist in the delivery
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Yorkshire in support of a just and sustainable transition to net-zero for the Region. You will support the research team on a project focused on understanding carbon sequestration potential across South
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of the project by delivering outstanding high-quality datasets on soil responses to EW across an international network of agro-ecosystems contributing to climate change mitigation efforts. Applicants must have
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productivity, assist in writing solution code for DSGE models and assist in the subsequent estimation of the model. Read academic papers, journals and textbooks and attend conferences to keep abreast
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detailed documentation of all data sources, code, and methodology to ensure the project's reproducibility and transparency. Read academic papers, journals and textbooks and attend conferences to keep abreast
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discounts and rewards on shopping, eating out and travel. A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT
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. Organise and contribute to regular research meetings and networking meetings. Contribute to the writing of an application for further funding and reports to funders. Assist in the preparation of papers
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
learning. The research will explore how AI-enabled adversaries manipulate ICS environments (e.g. robotic arms, sensor networks) and develop robust detection and response frameworks. By combining real-world
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predominantly qualitative; therefore you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References