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change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from
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researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying uncertainty from
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start date. Vacancies may open at different times. About the research Technological change creates uncertainty about what should be regulated, which interventions are proportionate and how their effects
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Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data
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palaeoenvironmental datasets of different temporal and spatial scales, with complicated uncertainties, is also essential. The candidate will work in a leading global centre for deep time and contemporary social and
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confidently conclusions can be drawn. Develop and apply approaches for uncertainty quantification, robust inference, and validation of biomedical imaging results. Work directly with biologists, biomedical
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funding to enhance resources of the university’s Cluster of Excellence. In case of doubt, please contact our office before applying.
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from aquatic sediments represent a major uncertainty in the global carbon cycle. This project seeks to advance our mechanistic understanding of methane gas dynamics across multiple spatial scales by
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Studies. This is due to regulations of the German Research Foundation stipulating that the Centre cannot provide funding to enhance resources of the university’s Cluster of Excellence. In case of doubt
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discovery and inference, with an emphasis on robustness, scalability, uncertainty quantification, expert knowledge integration, and multi-scale causal abstraction and representation learning. Your Job How are