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20 Jul 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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, CeRh2Si2, TbB4 etc.) near metamagnetic transitions and unconventional superconducting phases. Within step 1, magnetization probes will be developed, tested and compared before choosing the most optimal
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/Qualifications The successful candidate shall hold a PhD in metal additive manufacturing principles, ideally wire-fed processes such as WAAM, EBAM, and WLAM. Core competencies: - Ability to implement and conduct
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the framework of the URANUS project. Main activities : Develop and optimize AESEC experiments coupled with electrochemical systems operating in highly corrosive and/or high-temperature environments. Design
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and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
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, and optimizing cleanroom-based micro- and nanofabrication processes dedicated to the fabrication of these MEAs; Integrating the developed bioelectronic devices into microfluidic organ-on-chip platforms
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identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
these limitations. By leveraging RL during the post-training phase, foundation T2V models can be explicitly optimized to follow complex conditioning signals, enforce temporal consistency, and align with specific
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, PhDs, and Engineering degrees). These programmes are available through initial training,continuing education, work-study formats, or various accreditation pathways, both on-site and via distancelearning
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, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this