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infer excitation conditions and quantify the impact of fast, tenuous shocks on ionized line emission. In parallel, high-resolution 3D MHD simulations of fast shocks interacting with dense interstellar
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functions such as memory and object recognition, as well as consciousness and mental states. This research has several distinctive features: it employs a parallel approach involving human and non-human
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Your Job Several positions are available in distinct project areas: 1) Associative memory based computing: This project will utilize concepts including Dense Associative Memories and Modern Hopfield
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conditions. Assessing generalization capabilities and robustness against uncertainties. Stability Analysis of Model Predictive Control (MPC) Loop In parallel, we will ensure the stability of the MPC
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Computing Devices at CEA-Leti in Grenoble, you will contribute to the development of Bayesian learning methods suited to resistive memories (ReRAM). You will build on the team’s previous work, which has
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ecosystem for High-Performance Computing (HPC) and emerging technologies. Funded by the EuroHPC Joint Undertaking, EVITA brings together leading universities, research institutions, supercomputing centres
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Luxembourg Location Esch-sur-Alzette, Luxembourg Salary Negotiable Closing date 10 Nov 2026 View more categories View less categories Discipline Computing Job Type PhD Position Employment - Hours Full
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lake and river water levels. In parallel, socio-environmental signals on water-related extremes and pressures will be extracted using natural language processing and text-mining techniques, drawing
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a semi-industrial facility. In parallel, this PhD research will focus on investigating and optimising the process for removing arsenic from effluent, including through flocculation. Consequently
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How