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, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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how trust interacts with (structural) governance principles, ecosystem properties, and stakeholder expectations/behaviour, amongst others. You will map ecosystems relationships through trust mapping and
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characterization techniques, particularly solid-state NMR and X-ray/neutron scattering techniques for the investigation of structure-property relationships in battery materials. Strong background in battery research
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are the agriculture sector, construction sector, asphalt paving sector, aviation sector, and household sector. In particular, you will try to understand what the theoretical and actual policy bottlenecks are at local
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of society. These include institutional transformations in governance, coordination, and economic systems; shifts in social and relational structures; and changes in shared frameworks of meaning that shape
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that structural neglect through an interdisciplinary, participatory research program that combines empirical research, legal and policy analysis, and technology assessment. Grounded in a Theory of Change approach
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textile structure that takes care of the sweat absorption and transport and protects the sensors. In the final year of the project, the sensor bands will undergo testing with patients in collaboration with
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: machine learning or deep learning (e.g. PyTorch) scientific data pipelines or large datasets knowledge graphs or structured data systems GPU or distributed computing scientific machine learning or physics
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structural barriers behind gender inequality in the creative industries and translate these insights into public storytelling. Decode the Data Behind the Gender Gap in Art You will be based in the Department