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, tables, and other markers). In order to exploit deep learning in these areas, it is necessary to have ‘humans in the loop’, who not only label characters and words and transcribe lines of text but also
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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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, illuminated capitals, repetitive administrative forms, tables, and other markers). In order to exploit deep learning in these areas, it is necessary to have ‘humans in the loop’, who not only label characters
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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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, 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
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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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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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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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
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Sociocultural-Ecological Systems), a multidisciplinary research initiative, funded by the European Research Council, to document and contextualize long-term human-animal/human-environment relationships in