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Field
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, & creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work collaboratively with research teams and people with
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are expected to utilize computational, biochemical, functional, and in vivo approaches including RNA omics and bioinformatics approaches. Experience with tools of RNA sequence analysis is desired. Minimum
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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. Conduct research activities including literature analysis, policy analysis, stakeholder interviews, analysis of surveys. Instigate and report study results in international academic outlets as
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Meier, Charo Sadaba). You will be responsible for completing research projects fitting computational models to social media behavioural data (e.g., see https://doi.org/10.1038/s41467-020-19607-x
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mechanisms through reaction kinetics analysis and other physical organic and inorganic techniques Perform detailed in situ / operando studies of catalysts using X-ray Absorption and Emission Spectroscopies
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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, including cognitive interviewing, feasibility testing, and longitudinal data collection and analysis. There will be scope to contribute to the design of visual or interactive outputs (such as infographics