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Field
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Works Network to strengthen the wider evaluation ecosystem and promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role We
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historical datasets; undertake prosopographical and network analysis of merchants and institutions; and publish high-quality outputs in leading journals in business, economic and international business history
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role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and presenting the findings. As such, there is scope for the post-holder to bring
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focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field experiments
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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genomics and II. Barley and oat molecular biology. For the first project, you will help conduct genetic analysis of resistance to stripe rust and hessian fly in barley and map the key genes or QTLs related
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, and supported by Discrete Element Method simulations. The postdoctoral fellow will contribute to one or more aspects of the project, including graph/network construction and analysis, 3D in-situ X-ray
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clinical, public health or industry partners to progress translational diagnostics and build collaborative networks. You may be a great fit if you: Hold a PhD in Microbiology, Molecular Biology, Biomedical
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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related discipline; The candidate must have 4+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and