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and externally. You will need to engage with research topics and apply high standards to the research code and systems you develop. A selection process will determine the strongest candidate across
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development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on
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opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website
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. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website
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set-based, optimisation and data-driven control algorithms. The research is aligned within a wider effort of creating a new paradigm in manufacturing and in general in cyber-physical systems analysis
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Mathematics (minimum award 2:1). Hold or be in the process of completing a PhD in Mathematical Sciences. Commitment to providing a high-quality student learning experience. High level of analytical capability
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clearly demonstrate that you meet the following essential criteria: A 2:1 Honors Degree or equivalent in Electrical and Electronic Engineering, Computer Science, or Physics.- A PhD in Electrical and
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in manufacturing and in general in cyber-physical systems analysis and control, supply chain and value chain optimisation, creating reconfigurable systems and control methods that can be updated
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up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health
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wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website. Queen's University is