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(UCL). The successful candidate will join the internationally renowned Biomedical Optics Research Laboratory (BORL) and work within the research programme led by Professor Ilias Tachtsidis, who leads
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About us The Bioelectronics group at UCL's Department of Electronic and Electrical Engineering is seeking a postdoctoral researcher to join a flagship EPSRC-funded project led by Dr Yu Wu. This is a
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and evaluation of the developed methods using relevant imaging datasets and downstream computer vision tasks. This appointment is subject to UCL Terms and Conditions of Service for Research and
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apply them to cutting-edge single-cell datasets generated within the lab and from public resources. There is significant scope to shape the project around your interests, including live-cell imaging, flow
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to: Develop AI and machine learning workflows to analyse microscopy and high-content imaging data from advanced in vitro models. Build computer vision pipelines for image segmentation, tracking, phenotypic
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These include but are not limited to: Developing and validating organoid, spheroid and complex in vitro model workflows for the VISIBLE platform. Designing and executing advanced cell culture, imaging and
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, robotics, motion-control, fluidics, environmental-control and imaging-interface components. Developing custom prototype components using methods such as CAD, 3D printing, machining, fabrication and rapid
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, biomedical engineering, medical imaging, or related field. Experience in deep learning with practical implementation. Strong Python skills and relevant frameworks. Experience with large clinical imaging
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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, utilising mathematical modelling, phylogenetic comparative methods, conceptual and philosophical synthesis, and a variety of computational approaches to understand the evolution of developmental processes