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to curriculum development in strategy or management. We value candidates who combine methodological strength, whether qualitative, quantitative, or mixed methods—with the ability to collaborate across projects
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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your
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the Department’s psychology programme, including course development, examination, and educational leadership. Demonstrating the ability to translate research into broader societal or practice-oriented relevance
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experiments (spectroscopy and scattering methods) to support computational findings. The PhD candidate is expected to participate in all aspects of the project including planning of simulations and experiments
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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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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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this challenge, the Faculty of Engineering's Department of Built Environment and Doctoral School of Engineering and Science offers a PhD stipend. The stipend is open for appointment within the doctoral programme
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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-Anthropology programme at Aalborg University. Your competencies Applicants should have a strong interest in human–robot interaction and collaboration and in the role of emerging technologies in healthcare
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physical modelling in such facilities, but also one that can contribute to the development of the numerical modelling in the group. Your work tasks The candidate will contribute to the teaching and research