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linking: PVD process → thin-film morphology → electrode microstructure → electrochemical behaviour → full-cell performance The two successful candidates will investigate how the morphology and physical
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; *Science, *2025). The project involves a combination of optical imaging, nanofabrication, data analysis
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engineered models. • Small-animal surgery, colonoscopy/endoscopy, or in vivo imaging. • Tumor–immune cell co-culture systems. • qRT-PCR, Western blotting, immunofluorescence, immunohistochemistry, or related
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into complementary domains required by this project (computational microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular
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microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data. Communication
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professional audiences strong planning and organisational skills with the ability to manage competing priorities proficiency in computer applications and research-related systems. Sponsorship / work rights for
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, liposomes and other vesicular systems. Proven experience in the design, fabrication and operation of microfluidic devices for the controlled production of soft materials. Strong background in polymersome self
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining