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valuable knowledge and experience rarely available. The successful candidate will lead and advise on the statistical approaches to be adopted with the TILDA data to ensure robust and accurate findings. Key
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» Statistics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Country Ireland Application Deadline 30 Jun 2024 - 17:00 (Europe/Dublin) Type of Contract Temporary
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strong research record Enthusiasm for applied research Broad knowledge of relevant literature in applied behavioural science Capability with experimental and statistical software packages and techniques
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sensing to teach and research key societal challenges. The post will also support the School’s close links with the two other E3 Schools: Computer Science and Statistics, and Engineering, and enhance
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portfolio within a range of projects within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD. The position will be under the direction of Prof. Marco Ruffini
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within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD. The position will be under the direction of Prof. Marco Ruffini and Prof. Dan Kilper Please see
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data-driven approach, involving data science/statistics/machine learning methods, and will be informed by clinical literature and practice. NOTE: Applicants must have been resident in an EU member state
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statistical techniques, preferably related to building energy use (Essential). Knowledge of research techniques and methodologies used to obtain and analyse energy use in buildings, for example building
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.) Experience of statistical analysis and data management. Laboratory and field quality assurance & data quality control. Excellent project management, analytical, report writing and data analysis skills