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for the characterization of protein degradation and functions. The successful candidate will play a key role in developing or optimising new proteomics methods and undertaking end-to-end analysis of a variety of samples
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(e.g., SEM path analysis models, growth modeling, latent class analysis, multilevel models), experience with multiple methods (e.g., observational; qualitative; intervention research), and strong writing
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) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report
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) assist in data management and data analysis; (d) assist in the facilitation of public, patient, and carer involvement and engagement in research; (e) assist in the preparation of reports and
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- “Analysis of the cross-diffusion systems: New results and applications”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at least three years of postdoctoral research
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of biosample and biobank inventory. Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings. Assist researchers in programming, data analysis and literature review
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of Energy Economics (CEE), a key research unit within the Bureau of Economic Geology (BEG), plays a critical role in advancing the understanding of energy economics, market analysis, and financial valuation
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pollination. This project will combine experiments, analysis and multiphysics modelling to establish credible mechanisms, limits and open datasets for plant acoustic emission and reception. We are recruiting a
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an approved faculty mentor on an active research project, participate in laboratory/field work, and engage in professional development activities to build skills in research design, data analysis
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault