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Field
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—together with information about model uncertainty—the project aims to support more precise, physiology-guided treatment decisions without the need for additional invasive measurements. The research is
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, uncertainty-aware decision-making, and efficient inference and model updates under latency, memory and energy limits. The precise research focus will be developed with the successful candidate within
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grid reinforcements, heat networks and local flexibility, but privacy law (GDPR), commercial sensitivity and regulatory uncertainty keep this data locked away. Hence, critical infrastructure decisions
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reactors, with particular emphasis on statistical methods, uncertainty quantification and machine learning to improve the accuracy and computational efficiency of fuel-performance analyses. The work
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address this challenge through quantifying the conditions under which geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory
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on electrical and calorimetric efficiency measurement has the primary emphasis of: measurement-system design, sensor characterization, uncertainty analysis, converter testing and calorimeter development. The best
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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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BMS constraints. Experience with system identification, uncertainty-aware modelling, large datasets, and machine learning. Evidence of research capability through a thesis, publications, conference
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uncertainty, detect errors, and regulate their behavior accordingly. The PhD project will examine how metacognitive monitoring and regulation develop across different age groups and within individuals over time
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ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human