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work within the ADAPTING PEPR project, funded by France 2030 and led by the ANR (French National Research Agency). Within this project, the ASIC team at IETR aims to develop a distributed platform for
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to any changes in the network, be robust in the face of uncertainty, and remain flexible. In recent years, new strategies for the optimal management of distributed systems, based on analysis, simulation
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launched as part of the ANR OCEANLINKS project [Bound by Seas and the Ocean: Coastal Anchoring and Networks of the International Scientific Community]. Within this project, the postdoc will contribute
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launched as part of the ANR OCEANLINKS project [Bound by Seas and the Ocean: Coastal Anchoring and Networks of the International Scientific Community]. Within this project, the postdoc will contribute
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of collections of fluid particles distributed over a lattice is here preferred to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows
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learn a monolithic, “black-box” world model, often using a large neural network as function approximators. While these models can be highly effective for prediction within their training distribution