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built a strong reputation for transforming individuals, organisations, and society through research and teaching. Located at the centre of the Cambridge Cluster, Europe's leading technology
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in the heart of Europe's most successful technology cluster, CJBS has built a global reputation for rigorous thinking, innovation, and transformative education since its founding in 1990. We
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biology, organic synthesis, high-throughput screening, mechanistic enzymology, database searching and microfluidic engineering are advantages, as well as postdoctoral experience. Applications should contain
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technology and methodologies in these investigations, including functional and structural magnetic resonance imaging, induced pluripotent stem cells (iPSC), whole genome sequencing, genome wide association
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in the first instance, but this is part of a rolling programme with the potential for extension. Applicants should have completed (or be about to complete) a Ph.D. in chemistry or chemical engineering
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Assistant in Archaeometallurgy. The post holder will work as part of the ERC Advanced Grant funded project: Reverse Engineering Collective Action: Complex Technologies in Stateless Societies (REVERSEACTION
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) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following
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process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk , +44 (0)1223 332615). Please quote reference NM45864 on your application and in any correspondence about this
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transplantation models and genetically engineered mouse models of pancreatic cancer. The role will support a team that uses mouse models to understand and genetically and pharmacologically target cancer/fibroblast
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with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and develop common data model specifications