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mobile network intelligence. The successful candidate will design original AI solutions for the automation of network functionalities to be deployed in next-generation 6G systems. The focus of the studies
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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. On the quantum side, we explore the extreme regime of motional quantum states of solids and their interactions to understand how to maximize mass, delocalization, and coherence time in quantum experiments
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components are designed and produced. This PhD project focuses on Molten Metal Jetting (MMJ), an emerging metal 3D printing technology that enables the precise fabrication of multi-material metallic structures
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to implement adaptive manufacturing strategies that respond dynamically to process variations. The “design-manufacture-inspect-model-test” approach of this project will equip the successful PhD candidate with a
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
, with a focus on pharmaceutical degradation. Different plasma/vortex configurations will be assessed in terms of removal efficiency, energy demand, and scalability. This will involve designed experiments
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description: Design, development and test of the DUV source Perform time resolved photoelectron spectroscopy experiments using DUV source Support user operation at the MAC user end-station Contribute
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 13 days ago
has been investigated in laboratory settings by various research groups over the past decade. Through specific geometric design, the ABH aims to slow down wave propagation and concentrate energy in a
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studies fundamental and applied aspects of multiphase flows, combining advanced experiments and state-of-the-art numerical simulations. Research focuses on dense dispersions, turbulence interacting with
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of these state transitions remains a challenge. The objectives of this thesis are: i) elucidating key drivers of metabolic shifts of interest in Saccharomyces cerevisiae cell factories, ii) designing tunable