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Tracking within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, or soon hereafter, and the integrated PhD stipends are open for appointments
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group of international scholars working with fieldwork methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and
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collaboration with the Department of Computer Science at Aalborg University, combining socio-technical research on human-robot collaboration with technical research on interaction technologies and robotic systems
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Prediction (AI-focused) This position focuses on developing cutting-edge AI methods for genetic risk prediction across multiple cancer types, with a strong focus on model performance and explainability
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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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and effective program delivery. Competencies The position requires strong conceptual and methodological competencies, integrating both quantitative and qualitative approaches to study transformation
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human-computer interaction, computer science, software engineering, digitalization and application development, or a related discipline. Experience with user studies and design methods will be considered
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modern machine learning methods, particularly attention-based neural networks within computer vision and/or natural language processing, and you are comfortable working with data-driven approaches
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outputs, e.g. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and
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vision methods for analysis of the non-verbal communication of humans in a therapy setting (client + therapist). This includes working with human pose estimation, facial expressions and micro-expressions