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Field
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the presence of probabilistic outputs, non-deterministic agent behavior, and continuous data dependencies, and how these factors impact the trustworthiness and compliance of evolved requirements artifacts
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and Collaboration; Natural Language Processing; Probabilistic and Symbolic AI; Physical and Embodied Interaction; Quantum Systems Analysis and Synthesis; Systems Design & Development Practices; Web
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in the presence of strategic, realistically constrained adversaries and probabilistic uncertainty. We seek to develop analysis and design algorithms that incorporate cross-layer information and account
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probabilistic frameworks. Helping develop standards, benchmark scenarios, and performance metrics for human-robot interaction (HRI), autonomous systems, and cooperative robotics integrated into complex
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synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering
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knowledge of time series analysis and forecasting, with knowledge of multivariate, hierarchical and/or probabilistic forecasting Skills Essential: C1 Knowledge of time series analysis and forecasting C2
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applications. This includes, but is not limited to, stochastic differential equations, stochastic partial differential equations, variational and geometric methods, probabilistic numeric, optimal transport, and
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field observations—including
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing