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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a relevant subject (molecular microbiology, cell biology
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on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies possess a relevant PhD (or nearing completion
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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to real-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. This role is based in Randall Centre for Cell
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Royal College of Art The Royal College of Art (RCA), founded in 1837, is the world’s leading art and design university, ranked number one globally in the QS World University Rankings by Subject for eleven
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the research conducted by master's and doctoral students. This is part of your personality: We are looking for someone with: Minimum Requirements PhD/Doctorate in bioinformatics, computer science, natural
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. Evidenced track record in the design of photonic devices using simulation tools such as Ansys Lumerical. For appointment at Grade 7: A4 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus
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. The project is funded by the PI’s recently awarded Royal Society University Research Fellowship ‘Designing photocatalysts for the circular economy: environmental control of chromophore photochemistry’. Its