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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities
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Belgium. The overall objective of FLEX-SMR is to develop cost-optimal solutions for integrating SMRs into industrial energy systems. In particular, the project investigates how an SMR can be operated
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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