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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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experience of the laboratory delivery of multiplex imaging datasets of tissue samples as well as significant laboratory experience of general methods including immunoassays and cell culture. You will have
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plasmas, including via methods based upon Molecular Dynamics and Particle-in-Cell techniques as well as experiments. We also envision that the ideal candidates will provide support to experimentalists and
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based on metal-halide perovskites, silicon, and novel low-band-gap chalcogenide-halide semiconductors, supported by fundamental experimental characterisation and materials modelling. Addressing
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statistical properties of AI procedures through the lens of topology and geometry, employing ideas from Stein’s method and conformal prediction. The post holder will also provide guidance to junior members
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, and agentic safety. The second is on using AI in the field of genomics to aid drug discovery. The third is explainable AI for the law. We plan to use agent based methods to help the latter two. In
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with other group members to assist them with gene functional characterisation. You must work as part of a team, be willing to learn new methods and skills and persevere in case of discouraging results
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together with relevant experience; have expertise and experience in survey design, quantitative research methods, and advanced statistical analysis; experience in managing large-scale data collection
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cilia function. This exiting project will combine our recently developed centrosome purification method with advanced proteomics and high-resolution imaging to deepen our understanding of these processes