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PhD Knowledge-Infused AI for Human-Technology Integration (V24.0004) « Back to the overview Job description Synergies between humans and AI-enabled systems are relevant in situations involving
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-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between environmental stressors and population health. This project is part of a larger project ECOTIP
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PhD position on the topic The Relationship between Health and Environment (V24.0118) « Back to the overview Job description Project description While the association of adverse environmental
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addition, it will employ cross-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between environmental stressors and population health. This project is
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PhD position on Human-Centred Digital Twins in Industrial Work Environments (V24.0003) « Back to the overview Job description Digital twins enjoy significant take-up in a wide range of industries
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designed and deployed in ways that align with values such as transparency, explainability, and trust. This research will delve into the intricacies of AI-human collaboration in high-stakes environments
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into the intricacies of AI-human collaboration in high-stakes environments. Scope of the research The project working package encompasses four phases: 1. Formalization of Principles: Define and analyse key concepts
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, explainability, and trust. This research will delve into the intricacies of AI-human collaboration in high-stakes environments. Scope of the research The project working package encompasses four phases: 1
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and sustainability through dynamic customary systems based on whole-ecosystem perspectives and myriad cosmological considerations relating to human/nonhuman-animal relationships. Today, many hunters
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the successful candidate will be enrolled in the Graduate School of the Faculty. The conditions of employment are available at the University of Groningen website under Human Resources: https