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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
necessary. Previous experience with experiments involving human participants (particularly in decision making and / or teams), and statistical analysis of data is essential. Familiarity with agentic AI
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to accelerate formulation discovery. Experimental data will be organised into a comprehensive database and analysed using statistical learning and Bayesian optimisation, establishing a closed-loop framework
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mathematical/statistical modelling and programming (e.g. Python, MATLAB, or similar). A research-oriented attitude and strong motivation to deliver ambitious, high-quality work. Ability to work in an
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. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in
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application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will