39 phd-mathematical-modelling-population-modelling PhD positions at University of Cambridge
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The Managers of the Autism Research Trust Fund invite applications for a fully funded PhD studentship in autism research in the Department of Psychiatry, commencing in October 2025. This studentship
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Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Professor Stephen Price
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catalytically active metals to drive chemical reactions with light [3-4]. The specific goals of this PhD project are to 1) understand how plasmonic Mg nanoparticles and their surface oxide layer attract and
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of systems and data sources. Using the DR research to create guidelines for the development of the ontological structure for the DT. Development of DT information modelling, data fusion, and forecasting
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AHRC Collections & Communities in the East of England Collaborative Doctoral Partnership (CDP) PhD studentship: Reimagining Caribbean Collections: Unveiling Histories of Identity and Wellbeing
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dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system
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Applications are invited for the Sigrid Rausing MIASU PhD Studentship in the Social Anthropology of Inner Asia. The studentship, funded by a generous donation from the Sigrid Rausing Trust, will
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into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
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Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Dr Topun Austin starting
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genetics in the grasses, especially in the model systems Zea mays (maize) or Brachypodium distachyon. We particularly welcome candidates with expertise in grass transformation and/or spatial transcriptomics