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optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAP research centre on AI
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knowledge of relevant literature in applied behavioural science Capability with statistical software packages and techniques Strong writing, presentation and communication skills Scientific curiosity and
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, in addition to, optimisation of data processing and statistical analysis pipelines and writing of custom MATLAB scripts for signal analysis. Prior experience in neuroimaging and/or electrophysiology
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experimentation in optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics,Trinity College Dublin, Ireland, and in the ADAPT centre. The researcher will
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applying quantitative or statistical approaches to geoscientific problems. *Demonstrated experience in innovative applications of supervised and unsupervised machine learning and geostatistical techniques