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The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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the research area of the project. Demonstrated quantitative and analytical skills, including programming or modelling experience. Ability to work both independently and as part of a multidisciplinary team
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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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scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable behaviours. NATURETIME aims to generate actionable
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including high-impact scientific publishing, and collaborative research with international teams. Who we are looking for Requirements MSc degree in Computer Science, Data Science, Machine Learning, or a
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foundation in cybersecurity and adversarial machine learning. Excellent analytical and problem-solving skills. Good communication skills in English (written and spoken, e.g., with a valid International English