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Field
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. • Characterisation of cooperation amongst elements of a network in terms of robustness and optimality. • Synthesis and design of nonlinear distributed controllers. • Data-driven control in a nonlinear setting. This
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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design of instrument performance. key words mathematical modeling; differential equations; simulation; perturbation methods; optimization Eligibility citizenship Open to U.S. citizens level Open to
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implementations on computers. We are particularly interested in nonlinear optimization problems, which involve computationally intensive function evaluations. Such problems are ubiquitous; they arise in simulations
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of microbial communities. · Apply active learning strategies to optimize experimental design. · Integrate genetic and functional data using high-throughput experimental datasets. · Collaborate
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processes. Construct multi-objective optimization frameworks (Pareto optimization) to evaluate trade-offs among economic, energy efficiency, and environmental performance metrics. Utilize reinforcement
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to the scale of the mesh and the hydrodynamic time step. This approach, currently being developed as part of a 5-month M2 internship, aims to reduce costs and optimize resources. Planck and Rosseland means
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to generate intense, isolated attosecond pulses at this beamline and use them for pump-probe studies of attosecond charge dynamics in molecules and for the study of the dynamics of nonlinear processes
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modelling, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research
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positioned team of experts in the field of photonic components, laser sources, and nonlinear converters. You will contribute to the improvement of fiber components and new designs. You will independently work