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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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exploring B cell migration in the spleen. The successful candidate will have extensive experience in handling and processing live spleens and an established expertise in live imaging of this organ. As a
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patterns and ability to work under pressure without compromising accuracy will be vital to the success of the project. Desirable qualifications include proven skills in data analysis and some coding
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accuracy will be vital to the success of the project. Desirable qualifications include proven skills in data analysis and some coding expertise, as well as prior experience of working under the Human Tissue
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electrophysiological recording (cMOS Multielectrode array) and calcium imaging and optogenetics. The long-term goal is to understand how cortical organoids process information. For this aspect there will be
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or image analysis. The post is full time and fixed term until 30 June 2028. The closing date for applications is noon UK time on Friday, 11 July 2025 You will be required to upload a CV and Supporting
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London, https://www.kcl.ac.uk/bmeis , working
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will