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on quantum metrology for two-dimensional and three-dimensional imaging applications, focusing on derivation of fundamental limits and quantum enhanced strategies for discrimination and estimation of physical
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and in combination with existing antifungal drugs. Areas of interest are: development of in vivo imaging assays for understanding efficacy of novel antifungal drugs, determination of resistance
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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parasite biology and access to facilities including a derogated CL3, and state-of-the-art flow cytometry, genomics and imaging facilities. Applicants with enthusiasm for teaching at undergraduate and
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characterisations and advanced characterisations such as X-ray, electron, and neutron scattering and imaging experiments. You will undertake independent and collaborative research and will be expected to write up
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). Experience in tissue culture, DNA, RNA, immunoblotting and immunostaining, and in microscopy and image analysis, along with excellent interpersonal, communication, and problem-solving skills are also essential
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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translated complex AI concepts for a non-specialist audience and indicate the outcome (policy change, prototype, engagement metrics, etc.). (Within the word limit, you may add a closing sentence indicating how
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or molecular biology with a basic knowledge of mitochondrial biology. Previous experience in cell culture, imaging and CRISPR screening in mammalian cells is a strong advantage. Experience with