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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
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frameworks, including quantum optimal control, stochastic wavefunction methods, and Floquet theory, to design electromagnetic waveforms that can selectively discriminate and disrupt proposed spin-based quantum
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potentially involving techno-economic analysis and AI-driven models for optimizing design and operation. Activities within project management and co-supervision of graduate students are also foreseen
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in inHealth-Aware Optimization of Lithium-Ion Battery Charging is available from 1stof March 2026 (or as soon as possible
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staff position within a Research Infrastructure? No Offer Description The Optimization Group at Aeronautics Institute of Technology's Computer Science Division (IEC/ITA) in São José dos Campos (São Paulo
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planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The successful
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energy system and its environment (port) with scenarios. • Development of an optimal design method applied to the energy system simulation model. • Multi-criteria evaluation of the proposed energy systems
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms
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Requisition Id 15553 Overview: We are seeking a Postdoctoral researcher in data quality assessment and control and sensor network optimization who will focus on R&D of sensor network design. This