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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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analysis in a setting with ample expertise and infrastructure. This is a rare opportunity to develop expertise in quantitative pathology in the burgeoning field of spatial cancer biology. Ours is a diverse
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understanding of Lithium-ion battery systems, BMS, and battery models, including equivalent circuit and electrochemical models. Proven ability to develop and implement state estimation algorithms, such as Kalman
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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. The research will assess novel liquid biopsy tests for the early detection of cancer in people with Lynch syndrome, working within the Predi-Lynch collaboration (https://predi-lynch.eu/). Predi-Lynch is funded
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their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are offering PhD Position in
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generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop
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desk-based population viability analysis. Improved understanding of habitat preferences will help identify, prepare and manage future translocation sites, support existing sites, and provide insight
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and Technology and monitored by UK Research and Innovation (UKRI) . The programme’s mission is to develop innovative methods for designing and integrating microchips manufactured using different
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year for 3 years. The studentship is fully funded for 3 years. An extension of funding for a further 6 months is available, contingent upon the candidate completing 70 hours of teaching per year during