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are widely used in modern life due to their strength and durability, with applications ranging from construction to packaging. However, their long-lasting nature also poses environmental challenges, as they
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of the model will rely on the available experimental characterizations of these interfaces and will focus on plausible solid-electrolyte interphase structures on the extreme surface. The applied computational
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Description of the offer : Join our team for a postdoctoral position focused on advancing Spin-Orbit Torque (SOT) based Magnetic Tunnel Junctions (MTJ) for embedded non-volatile memory applications
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. The postdoctoral candidate will investigate how viral dsRNA produced in cytoplasmic virus replication complexes could be sensed in the apoplasm and how MPs could act to inhibit dsRNA sensing or downstream processes
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developed in solid and structural mechanics. In the course of their previous experience, they will have developed knowledge in one or more areas of non-linear physics or solid mechanics, such as fracture
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. This will be made on different Cu-FR4-Cu laminate test-structures with a FR4 thickness ranging between 35 to 100 μm. A preliminary assembly process optimization will be performed (e.g., temperature
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characterization, he/she should be able to interact with other colleagues, expert in chemistry, biochemistry, electrochemistry and microfabrication. The mission will take place at the Institute for Electronic
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
. At the microscale, grain interactions—governed by nonsmooth phenomena, e.g. contacts, friction—drive the bulk dynamics at the macroscale, which challenge current modelling frameworks. Modern experimental methods
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will then be used to investigate the insertion mechanism of lithium ions and to understand the nature of the interaction between the material and the electrolyte. With these insights, alternative active
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. Objective This postdoctoral research aims to develop and implement a robust optimization framework for strategic fleet renewal planning under deep uncertainty. The overall goal is to support decision-makers