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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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, methodology development and mechanochemistry. Postdoctoral researcher’s tasks will include the development of recycling protocols for different metals, advanced characterization of the reaction mixtures and
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participate in the implementation of different activities within the research project. The role emphasises the ability to conduct high-quality research and interact with different national and international
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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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of a highly experienced and enthusiastic research team and Unit, with whom you can share and develop your expertise Career development and learning opportunities in a multidisciplinary, international
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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