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-process architecture while contributing to the overall modelling pipeline, evaluation, and transfer to new cities. Your focus will be on: - you will develop scalable data pipelines for heterogeneous
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advanced 3D reconstruction and scene representations, such as point-based, neural, or volumetric methods (e.g., NeRF and 3D Gaussian Splatting), and their integration into real-time rendering pipelines
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volumetric methods (e.g., NeRF and 3D Gaussian Splatting), and their integration into real-time rendering pipelines Ability to understand building performance simulation data and translate complex
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techniques based on our prior work in the area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the
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www.creol.ucf.edu . The ideal candidate will work with the Semiconductor Diode Laser Group ( https://www.creol.ucf.edu/sdl/ ) to participate in research in experimental optics. Our research focuses on large, high
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, uncertainty quantification, statistical modelling, and Gaussian processes, machine learning for time series, sequence-to-sequence models or surrogate modelling, scientific computing, large datasets
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to start imminently, and before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | about 2 months ago
implementing the neural-process architecture while contributing to the overall modelling pipeline, evaluation, and transfer to new cities. Your focus will be on: - you will develop scalable data pipelines