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PhD Doctoral Candidate to carry out research in neuromorphic photonic-electronic integrated circuits for brain-inspired information processing and sensing and in the development of efficient learning
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learning and professional experience across the University. As part of the End User Compute (EUC) team, you will contribute to the engineering, management, security, and compliance of our multi‑platform
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individual tutorials, group teaching, critiques and assessment, fostering an inclusive and intellectually rigorous learning culture. You will help students connect experimental practice with professional
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reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building
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comparable clinical standards are maintained in the clinical skills settings, with special reference to health and safety and infection prevention, and that this learning is transferred to clinical placement
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advancement in electric machine performance. Who we are looking for We seek a motivated candidate with at least a high 2:1 degree in Engineering, Physical Sciences, or a related field. Prior experience (such as
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and updated programmes are due to be launched in September 2026. Teaching and learning is primarily delivered in the healthcare teaching facilities at the Marston Road site of the University, offering
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early-onset Type 2 Diabetes (EOT2D) to co-design an adaptive, immersive learning intervention. Working closely with the project team, you will engage with public and patient involvement in research (PPIE
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embrace equality and diversity in our working, learning, research and teaching environment and are committed to maintaining a supportive and inclusive community. We particularly encourage applicants from
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(ECRI), you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers. Working as part of a collaborative and dynamic