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results and develop relationships using statistical methods and other analytical approaches such as finite element, and predictive techniques. Application Procedure • A 1-page cover letter, stating
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and artificial intelligence. An important component of the PhD will be determining which combinations of approaches are scientifically useful, rather than applying AI or other computational techniques
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the following elements: - Abstract (300 words, approx.) - Background context and rationale for the research - Aims, objectives and central research questions - Methodology including details of any specialist
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referees (with email addresses included); 5. At least one example of your written work (in English and including some data analysis) that shows your analytical and writing skills in a social science
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an interdisciplinary team, the postholder will participate in the full process from setting up awake infant fMRI and/or OPM-MEG, experimental design, data acquisition, analysis, computational modelling, presenting work
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-valent main group elements. The research addresses a critical challenge in the transition to a climate-neutral economy by enabling the design of environmentally benign alternatives to precious-metal
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Digital manufacturing, Industry 4.0, or cyber-physical systems o Product design for disassembly, remanufacturing, or recycling o Data analysis, AI, or machine learning applied to engineering systems
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activities, including the collection, analysis and documentation of qualitative and quantitative data. The role involves preparing research reports, developing data collection tools, communicating project
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debiased machine learning Heterogeneous treatment effect estimation Longitudinal and survival analysis Propensity score methods and overlap weighting Transportability and generalisability Sensitivity
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict