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performance and improve fast charging, of Gen 3 LIBs tailored for mobility applications. The pivotal S&T challenges encompass: development of functional materials, design sustainable fabrication and recycling
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- Solid knowledge of existing literature in optimization and/or symbolic computation - Strong skills in programming with scientific and/or symbolic computing tools Website for additional job details https
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
twin to obtain more optimal performance of the CO2-to-protein pilot factory. Collaborate closely with our research partners to create an ontology capturing the biochemical process variables and
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twin to obtain more optimal performance of the CO2-to-protein pilot factory. Collaborate closely with our research partners to create an ontology capturing the biochemical process variables and
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
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fertility, optimize nutrient availability, and contribute to more sustainable agricultural practices. Job Responsibilities Study the biology, ecology, and physiology of microalgae and cyanobacteria
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. Degradation Studies: Investigate structural, morphological, and interfacial degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving
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: Investigate structural, morphological, and interfacial degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods
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our pilot cases Development of building simulation models supporting energy and indoor climate optimization Analysis of building performance data for occupancy detection and predictive modelling