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their performance and lifetime. Optical microscopy and spectroscopy techniques are widely used for post-mortem battery analysis but are more difficult to implement in operando analysis due to the required direct
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to support research. Implement algorithms, data structures, and other computational techniques to solve complex problems. Collaborate with cross-functional teams to integrate software components into larger
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, 2008 [2] Appl. Phys. Lett. 118, 142601, 2021 [3] Appl. Phys. Lett. 118, 054001, 2021 Profil du candidat PostDoc candidates are required to have a Ph. D. degree in physics or a related discipline
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facilitates the automatic generation of extra-functional models, such as performance and power ones. This internship provides a valuable opportunity to gain hands-on experience with machine learning techniques
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aims to improve LLM performance in generating ISS code by using RL to optimize prompt tuning and automate processes. It also seeks to expand dataset coverage by integrating simulators like QEMU
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for process-local loose coupling in high-performance simulation codes. PDI supports the modularization of codes by inter-mediating data exchange between the main simulation code and independent modules (plugins
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the team's previous work and develop a new high-throughput cell encapsulation instrument comprising a microfluidic card, a mechanical holder, pneumatic controllers, temperature control units, optical systems
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allocation (e.g., between wireless access and backhaul), the level of compression of data transmitted in uplink by users (e.g. vehicles, sensors, etc.), and the portion of computations performed locally
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing
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characterized PDO models and performing and qualifying compound assays on single and multipatient tumor models. Bibliography: M. E. Dolega et al., Biomaterials, 2015, 52, 347-357. B. Laperrousaz et al., Nucl