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Field
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exploited (e.g., via local flexibility markets) is still in development with many unresolved challenges. Two of these challenges revolve around data availability and operational uncertainty. This PhD research
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of the century, which could be further amplified by a slowdown in the Atlantic Meridional Overturning Circulation (AMOC). This PhD is part of the French-Brazilian project AMACLIM (https://www.lsce.ipsl.fr/anr
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Projection heads and harmonised embedding schema v1.0 with uncertainty application programming interface and integration guide. Deliverable: D5.2 Query Retrieval Fusion backbone v1.0 with interface
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global guarantees of stability and robustness to disturbances, uncertainties and actuation limits (saturation); b) the analysis of the stability and performance properties of the proposed solutions; c
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demonstrated ion trapping of single Yb+ ions. Optical clocks based on ultra-narrow transitions in trapped ions and neutral atoms have reached fractional uncertainties in the low 10-18 range, enabling landmark
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
reserves the right to request any candidate, in case of doubt, to provide supporting documents for their statements. False statements made by candidates will be sanctioned in accordance with the law. The
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supervised by Mykola Pechenizkiy, Cassio de Campos and Clemens Dubslaff. Where to apply Website https://www.academictransfer.com/en/jobs/362817/phd-in-resilient-machine-learni… Requirements Specific
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generation, and emissions, while conducting sensitivity and uncertainty analyses to assess the robustness of results. The work will involve close collaboration with researchers working on metallurgy
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization