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to experimental campaigns and will use image-derived structures (including XCT images where available) to develop mechanistic, validated mathematical multiscale models. We are recruiting a Postdoctoral Research
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postdoctoral fellow to be part of our team to advance our Rapid Pulsed Laser Deposition (RPLD) technology and ultimately develop a new class of active mirror to underpin the next generation of thin-disk lasers
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addition to the essential disciplinary research skills, candidates should demonstrate a genuine enthusiasm for collaborative working, the ability to communicate effectively across disciplines, and well-developed
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components for innovative-lasers applications. We’re looking for an enthusiastic postdoctoral fellow to be part of our team to advance our Rapid Pulsed Laser Deposition (RPLD) technology and ultimately develop
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We are seeking a computational glycobiologist to join a multidisciplinary project developing next-generation enzymatic tools for antibody glycoengineering. The role will focus on applying state
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effectively across disciplines, and well-developed organisational skills. In this role, your primary focus will be the characterisation and understanding of TMDC-based nanoelectronic devices, such as
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including anechoic chambers and controlled experimental environments, ensuring high-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring
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. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces
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–dielectric–metal resonator platforms. The project develops hyperuniform disordered metasurfaces, a novel class of photonic structures in which structural correlations are precisely controlled to achieve
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Research fellow in dementia research This is an excellent opportunity for a postgraduate candidate with strong research and organisational skills to develop their expertise in dementia research