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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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critical computing. High-level topics include: social identity cues in the design of LLM-based chatbots or social robots trust and reliance on conversational agents designed to be charming and disarming so
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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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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combines hands-on training, cohort-based learning, and cutting-edge research, preparing graduates for careers in academia, industry, startups, and beyond. We welcome applicants from the Physical Sciences
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wet- and dry-lab scientists that are studying RNA, chromatin and transposon biology, covering all aspects of this RNA-based immune system, including the biogenesis of small non-coding RNAs and the
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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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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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on cell viability and DDR activation in established human cell models. The student will perform CRISPR screens to determine factors that affect resistance/sensitivity and follow these up with mechanistic