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to the development of wireless sensor systems for Structural Health Monitoring (SHM) applications. The role focuses on mechatronic system development, with strong emphasis on electronics, embedded systems, and
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An Information Theoretic Approach to the Smart Grid School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Inaki Esnaola Application Deadline: Applications accepted all
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Viktor
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laboratory. Transmission electron microscopy will be used for a structural, chemical, and electronic study of high electron mobility transistors (HEMTs) based on Niobium nitride (NbN) as part of this contract
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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 6 days ago
-018-9301-4 Guayacán-Carrillo & Sulem, 2024. Comp & Geotech, 171, 106355. https://doi.org/10.1016/j.compgeo.2024.106355 Orgogozo et al., 2023. Computer Physics Communications, 282, 108541, https
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to staff position within a Research Infrastructure? No Offer Description The aim of this fellowship is to study the structure and dynamics of the viral factory formed in A. castellanii during the
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with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing the structure from such data is challenging, and new
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design services including computer aided design and drafting, building information modeling, document management, project scheduling, cost estimating, and other associated design and construction software
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Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials