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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable
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perception, and validate experimental results using real-world data obtained with citizen science. The project will also model the effects of nature on time perception at the landscape scale under different
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or programming software (e.g. Stata, SAS, R or Python) Experience of advanced longitudinal modelling, including time-to-event models, mediation analysis and causal inference approaches Excellent communication
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certificate, IELTS or TOEFL). Programming skills (e.g., Python, C++, Rust). Interest in collaborative research with both academia and industry. Qualification requirements The eligibility criteria