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-integrated time-stretch and femtosecond pump-probe systems using dispersion-engineered components. • Engineer and characterise high-resolution spectrometers for detecting time-resolved signals. • Contribute
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access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI development
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mitigating neuronal cells degeneration, you will be expected to work on TCR and antibody characterisation to be used for T cell engineering projects. The post is available from 01 August 2025 and is funded by
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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improving access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI
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knowledge collaborative research and teaching of UCL Energy Institute, UCL Institute for Environmental Design and Engineering, UCL Institute for Sustainable Heritage and UCL Institute for Sustainable
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groundwork for subsequent human clinical trials. You will work as part of an interdisciplinary team involving pancreatic cancer surgeons, pathologists, and engineers. There will be significant potential
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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and real-time studies of the fundamentals of liquid melt filling and solidification processes under different casting conditions. Supporting the research activities of other project partners to deliver