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to augment the funds to cover the extra costs associated with international student fees. Exceptional candidates may be eligible for an International Fee Bursary. Thermodynamic modelling of minority phases in
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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identifications from the synchrotron X-ray data. The data acquired will be compared with existing transformation kinetics models to assess their reliability and, where necessary, will provide the data needed
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mouse models and immunology expertise (CRUK-CI), access to relevant patient material (matched fresh-frozen PDAC and serum samples). We will utilize AstraZeneca expertise in spatial and circulatory
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, including Chemistry, Physics, Materials, and Engineering. Shortlisting is based on written applications (qualifications, aspirations, experience), with final selection via interview focusing on independent
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cancer, novel genetically engineered mouse models for the depletion of different CAF populations, in vitro three-dimensional pancreatic tumour organoid/fibroblast co-culture models, CRISPR-based
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chromatin profiling methods along with CRISPR/Cas9-meduated cell line engineering and various animal models. You will study the effects of the activation or depletion of chromatin-modifying enzymes using
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automated feeders), and analyse microbiome composition using 16S rRNA and whole-genome sequencing. Statistical modelling will test for links between microbes and host development and fitness.� PROJECT
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21 Aug 2025 Job Information Organisation/Company University of Cambridge Department Department of Engineering Research Field Neurosciences » Neuroinformatics Engineering » Control engineering
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degree (or overseas equivalent) in a relevant science subject (Materials Science, Chemistry, Physics, Engineering) or Archaeology where candidates have strong evidence of skills in experimental analysis