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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. About the role We are looking for an ambitious and
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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& adaptive immunity. Our scientific research spans cellular and molecular biology, immunology, pharmacology, antibody engineering, chemistry and structure-function relationships, as well as bioinformatics
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healthcare technology. The post-holder will be proactive, capable of balancing multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and
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. The primary focus is to engage parents, teachers, and young people in the implementation and evaluation of a new digital mental healthcare technology. The post-holder will be proactive, capable of balancing
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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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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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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author