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objectives of the project by identifying optimal land management solutions to balance food production, greenhouse gas emissions reduction, nature conservation, and economic co-benefits. This will involve
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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used to determine optimal pipeline operating conditions and develop guidelines for pipeline operation, providing practical recommendations for impurity concentrations ensuring safe and efficient
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paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
, energy optimization, and sustainable urban mobility. The position focuses on the development of a hybrid electromobility model within the eMob-Twin platform, combining large-scale mobility data from
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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communications systems. The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a
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equipment maintenance, developing and optimizing delivery protocols, managing in vitro-to-in vivo translation studies, and supervising junior lab members. This position directly supports the lab's goal
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. The successful candidate will contribute to the development, optimization, and scale-up of advanced pretreatment solutions for seawater desalination. The selected candidate will join a dynamic, collaborative, and