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change processes as well as good and bad outcome cases. It will involve analyzing both quantitative and qualitative data to explore aspects such as emotional communication, the working alliance, and
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inconsistencies in cross-disciplinary applications in architecture, digital twins, and visual media. The stipend is open for appointment from 1 April 2026 or soon hereafter. The duration of the position is three
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architectures capable of capturing non-additive genetic effects in large-scale genomic data. Stipend 2: AI Integrated – Genetic interaction models in a biological and clinical context This stipend centres
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population and clinicians, interviews with individuals from colorectal cancer screening programmes with high-risk results, and an intervention study examining the effects of receiving genetic risk information
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matter to photons is, however, a major source of loss, decoherence, and noise. Understanding the fundamental limits, dominant error mechanisms, and learnable effective models of such transduction processes
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effective demand and uncertainty. The research group develops Stock-Flow Consistent (SFC) modeling to examine financial-real sector linkages, while advocating for methodological pluralism in economic problem
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critical-event monitoring of offshore wind turbines. The challenges faced in these situations stem from the need to detect extremely low-probability turbine failure modes (10?³–10?5), where even small data
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of new materials, but often important effects of disorder are neglected. The PhD project is part of the Villum Young Investigator project titled “Entropy in materials design: Accelerated discovery
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relevance, and workflow impact in collaboration with general practitioners, assessing efficiency gains, trustworthiness, and effects on clinical decision making. Close collaboration between the 2 stipends is
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communication links and on designing methods to sense, predict, and mitigate their effects. The candidate will evaluate the performance of communication systems under varying weather conditions, develop AI-based