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characterise the internal dynamics of neural networks. Topological approach – based on metrics derived from topological data analysis to capture qualitative structural changes in the neural network configuration
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Dr Heli Hietala. The postdoc project involves primarily simulations informed by observations, related data analysis and theory/models, comparing various aspects of shock particle acceleration and meso
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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Associate tenable for oneyear in the Department of Drama, Theatre and Dance. The successful applicant will play a leading curatorial and research role in the implementation and analysis of artist-led
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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be
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meticulous approach to data collection, analysis and preparing manuscript for publication. A demonstrated ability to communicate well, work within a team, and deliver projects within an agreed timeframe is
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal