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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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-of-the-art, advanced methods, such as novel algorithms, sensor synergy, AI/machine learning and modelling, to improve understanding of complex processes, feedbacks and potential impacts. Priority will be given
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of the Agency. Potential areas include, but are not limited to: algorithmic engineering and high-performance computing; design and analysis of algorithms and data structures; discrete optimisation and operations
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