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Field
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conduct research on 3D reconstruction, with a particular focus on developing advanced 3D Gaussian Splatting techniques for dynamic and streaming scenarios. The role will involve designing and implementing
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, UAEs, GANs, diffusion models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency
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for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty quantification
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-Informed Machine Learning perspective [1]. The doctoral student’s thesis will focus on operationalising this perspective through the development of Biology-Informed Gaussian Processes (BioGPs
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explore relations between energy and non-classicality, both to provide new ways to characterize non-classical quantum states of light, and optimize processes to produce them. Context and goal of the project
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mainly rely on Poisson log-normal (PLN) models with Gaussian latent variables, in which the observed dependencies between species are directly interpreted as ecological interactions. Although these models
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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. Description: The transition in the Arctic from multi-year ice to first year ice raises the urgency of process understanding and modeling of sea ice formation/melt processes, including the interaction with
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 hours ago
measurements have been advanced significantly in sensing technology development, the synthesis, testing and characterization in current research labs still require human operation and take a long time for
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-temporal modelling and non-Gaussian modelling. We also provide statistics education at all levels. More than 900 students study at the department each year. Further information is available