4 distributed-generation "https:" PhD positions at Delft University of Technology (TU Delft) in Netherlands
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suffers from distribution shifts, lack of training data, and poor adaptability to unseen conditions and new problems. Can we combine these two fundamental learning paradigms to synthesize new learning tools
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scenario; Develop a novel self-calibrating, heterogeneous distributed platform capable of providing the necessary sensing, transport, compute and data aggregation capabilities on demand. Consider how partial
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of tomographic imaging techniques to capture oil/water distributions in a 3D geometry. In the second half, we will use these techniques to study the flow and stability of an emulsion through a constriction
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. Improve georeferencing and interpretation of InSAR point and distributed scatterers, linking results to buildings, parcels, and land-use information. Disentangle contributing deformation mechanisms