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Field
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passion for your topic. Reflecting on your motivation for pursuing a PhD trajectory is essential, as this path involves unique challenges and uncertainties inherent to scientific exploration. Success
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prediction reliability and robustness Estimate path flows, boundary conditions, and other key inputs for large-scale traffic models Design scalable methods for real-time traffic prediction and uncertainty
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related to boundary-setting, aggregation, uncertainty, and consistency across scales. The PhD candidate is expected to contribute to a collaborative research environment at BUILD, working with case studies
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methods for real-time traffic prediction and uncertainty quantification in operational networks. The connection with practice is super important. This project is not just an academic exercise. We will work
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ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação | Portugal | 2 months ago
summarily excluded. The President also has the right to require any candidate, in case of doubt and for the purposes of admission to the selection procedure, to present supporting documents
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-level analyses of monitoring performance under changing environmental conditions. Particular emphasis will be placed on understanding how observation systems respond to environmental stress, uncertainty
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system analysis. The work includes integrating AI methods with energy system models as well as developing methods for transparency, explainability, and uncertainty management, with a particular focus on
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can generate consistent 3D scene representations with quantified uncertainty, and how these can be deployed efficiently on edge accelerators such as NVIDIA Jetson, Edge TPU, or neuromorphic hardware
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to anthropogenic N2O emissions. 2. What the environmental conditions are that balance N2O production and uptake in artificial aquatic ecosystems. 3. Spatial and temporal uncertainties associated with aquatic N2O
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life sciences — often involving large, heterogeneous datasets and high uncertainty. Two application pillars Life Sciences & Health — From biological data science to health-related applications, IDEAS