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& Innovation Information Systems & Management – Analytics Marketing Operations Management Organisation & Work Strategy & International Business As part of the new programme launch, we’ve also launched a specific
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will be secondary data analysis, linking reported incidents of violence with weather data to identify correlations between climate variables (e.g., temperature extremes, humidity) and violent crime
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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, profilometry and AFM. You should also be familiar with theory of plasma discharges and have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time
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. Experience with EEG, fNIRS, or behavioural experiments. Programming and data-analysis skills (e.g., MATLAB, Python, R). Funding: This position is funded by the EU-funded HUM.AI.N-ACCENT Marie Skłodowska-Curie
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validity, reliability, or the influence of joint angles and cueing on force-time data. Currently, return-to-sport or duty criteria often emphasize peak force measures. Yet many injuries occur in contexts
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. The candidate must have or be willing to learn computational methods for data analysis. The studentship covers fees at the Home rate, International fees are not covered. How to apply You must apply through
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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interpretation of platform data, stakeholder feedback, and project outcomes; maintain records and databases; and draft progress reports, technical reports, and academic publications. Contribute to the design
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have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time-resolved plasma measurements. Responsibilities will include writing refereed