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in electric fleet planning and management, and in integrated transport and energy management systems. This will likely result in publication of at least three high impact factor journal papers in
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; their industrial applications include hard alloys and ceramic-metal composites for cutting and wear-resistant tools, protective coatings, and furnace and aerospace turbines. Together, we will identify and push the
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autoencoders, robust PCA, wavelet transforms). · Experience in methods to disentangle and integrate data sources (e.g., InfoGAN, β-TCVAE, TopDis / Topological Disentanglement, Independent Component
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expansion of the composites and explore them as new copper current collectors for Li-ion batteries (with graphitic, graphitic+silicon based slurries or as Li Metal anodes). You will work in (Belvaux) and have
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning