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on conventional polyurethanes (PUs) and their potential future substitutes, non-isocyanate polyurethanes (NIPUs). In this context, the main objectives of the work plan are: optimization of the depolymerization
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at the development and optimization of sustainable biocatalytic strategies applicable to the recycling of plastic materials. Within the scope of the work plan, the selection of appropriate enzymes will be studied, as
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and / or modifies clean, well-structured, search engine optimization-friendly documented code Provides technical expertise in front- and back-end web development Supports web infrastructure by providing
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the optimal reading of magnetic information via non-linear effects. The project also foresees the integration of optimal working materials into functional nanodevices. The research to be performed will require
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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the Purcell effect, which in the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED
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partners, and other national laboratories. Objective: Enhance THAPI: Extend and optimize the THAPI profiler (https://github.com/argonne-lcf/THAPI ) to concurrently profile AI/ML and ModSim components
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the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED processing will be required
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experience including optimizing clinic flow, providing in and outreach to patients and working collaboratively with the team to create a patient centered environment. S/he participates in Performance
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce