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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences
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play a key role in these emissions, and the recent increase in atmospheric methane is likely related to an imbalance between microbial production and degradation. Linked to warming, the terrestrial input
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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences
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integrated from wearable sensors, and processed by AI tools to support AYA patients in their journey to recovery. This position is part of the European Union Project LATE-AYA, and you will collaborate within a
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to three implementation strategies (e.g., peer reflection groups, coaching). Perform pre- and post-measurements. Use both quantitative (ANOVA, regression analysis) and qualitative (thematic analysis, open
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on methods such as functional connectivity analysis, brain network analysis, or machine learning; Excellent scientific writing and communication skills in English; Ability to work independently while
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elementary particles, the birth of the universe or the functioning of the brain. The analysis group at the Korteweg-de Vries Institute for Mathematics has a strong focus on Dynamical Systems where dr
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change mitigation and adaptation measures in wetlands. Your work will consist of literature studies, analysis of in-situ greenhouse gas exchange data, as well as spatially distributed (satellite) data
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on colonial Indonesia, and one on colonial South Africa. Within each sub-project, we will study how in the period c. 1750-1950 violence and other forms of coercion played a role in household relations in
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be