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Field
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: Undertake these responsibilities in the project: i. Design and optimize NGS library preparation protocols for low-quality and low-yield DNA derived from complex fuel matrices. ii. Conduct laboratory
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imaging and immunological datasets Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess
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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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or experience with data analysis methods (e.g. use of Stata, R, Python, or Stata) Ability to communicate complex information clearly Excellent ability to work as a team and independently including co-ordinating
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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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significant expertise in a range of research methodologies and an established reputation and publication track record. You will have an existing network within the world of children’s social care or education
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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: identifying which social interactions are most meaningful in tackling poverty, isolation and mental health. Social Capital: looking at the benefits derived from networks and relationships. This ambitious
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analysing the outputs of hydrodynamical simulations of clusters of galaxies to trace the build-up of mass through the cosmic network as clusters grow by mergers or smooth accretion of matter along filaments