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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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(home, school, social interaction), 3) discovering the neural mechanisms underlying attention deficits as they manifest in lifelike situations, and 4) characterizing the developmental trajectories
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multi- and interdisciplinary research unit based in physics, chemistry, meteorology, forest sciences, environmental sciences and social sciences in the University of Helsinki. INAR aims to strengthen
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these techniques to real-world problems, particularly in wave-based imaging and medical applications. This position is part of the Finnish Inverse Problems Society and the FAME Flagship initiative, offering
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and social sciences in the University of Helsinki. INAR aims to strengthen the internationally leading, integrated multidisciplinary research and education environment for atmospheric and Earth system
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parental leave usage across different population groups and how the use of leave has changed over time and in various social environments: workplaces, residential areas, and extended family networks
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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conferences Mentor graduate students and provide laboratory training Collaborate with space technology researchers on system integration and testing Your network and team You will work in the Integrated
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Health Data As A Service For AI Development What we offer: A high-quality research environment. The prospects to build an international research career within a European collaborative network. A working