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knowledge of multi-objective problems. Master students or Engineers in the field of Process Systems Engineering are strongly encouraged to apply. Knowledge of machine learning algorithms, energy markets and
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optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing
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than that of the original data, allowing mapping distinct input into more easily distinguishable interference patterns. In essence, this approach would allow an on-chip reservoir computing and task
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