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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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necessary to have ‘humans in the loop’, who not only label characters and words and transcribe lines of text but also train the machine to analyse images in a multifaceted manner. The knowledge harvested in
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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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PhD Embracing neurodiversity: from stigma to organizational asset through management control 1.0 FTE
the Master phase. The PhD candidate should have a background (MSc, Research Master) in management accounting, management control, human resource management, psychology or related fields. Conditions of
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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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PhD Embracing neurodiversity: from stigma to organizational asset through management control 1.0 FTE
accounting, management control, human resource management, psychology or related fields. Organisation Conditions of employment We offer you in accordance with the Collective Labour Agreement for Dutch
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obtained excellent results in the Master phase. The PhD candidate should have a background (MSc, Research Master) in management accounting, management control, human resource management, psychology