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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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injections, chemogenetics, histology and molecular biology. Some surgical experience is essential. Training will be provided in in vivo calcium imaging using our multiphoton imaging setup. The role also
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validation of spatial transcriptomics. Techniques will include genotyping, immunohistochemistry, in situ hybridization (including RNAScope), histology techniques, light and confocal microscopy imaging
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fundamental discovery to patient care. Our laboratory focuses on advanced label-free optical technologies for disease detection and characterisation. We develop fibre-optic and multimodal imaging systems
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injections, chemogenetics, histology and molecular biology. Some surgical experience is essential. Training will be provided in in vivo calcium imaging using our multiphoton imaging setup. The role also
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Desirable criteria 1. Experience in Doi-Peliti field theory 2. Experience in coding and analysing numerical simulations 3. Post-doctoral experience 4. Teaching experience Downloading a
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London, Prof. Alexei Lapkin from the University of Cambridge, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced
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managing and converting between file formats Experience with spatial data analysis tools/platforms (e.g.: napari) Programming skills working with image data in Python Experience with metadata, data