347 phd-in-architecture-interior-design-built-environment Postdoctoral positions in France
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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-source modeling and verification environment based on UML/SysML. This software is used to quickly explore the design space and test different architectural solutions. Finally, LabSoC collaborates with
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into district heating networks (DHN), and to study the architecture, sizing, and control strategies for its optimal integration into such networks. Currently, sensible heat storage remains the most widely used
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Description of the offer : We are opening two positions in the field of “Metallic and Oxide Materials for Orbitronics and Magnonics” at Institut Néel, CNRS, Grenoble The first position (PhD
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core. Nature Reviews Earth & Environment, 4(6), 377-392. [2] Aubert (2023). State and evolution of the geodynamo from numerical models reaching the physical conditions of Earth's core. Geophys. J. Int
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the development and monitoring of the technical aspects of XENONnT, the largest liquid xenon time projection chamber built to date. Specific responsibilities will be defined based on the candidate's expertise and
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? Horizon Europe Reference Number 2025-R0442 Is the Job related to staff position within a Research Infrastructure? No Offer Description - work environment: Coordinate and carry out a research project aiming
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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at the interface of materials chemistry, nanotechnology, and oncology. The project, NANOZEOXY, focuses on the design and development of nanosized zeolites as advanced carriers of oxygen and contrast agents
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior