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algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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, to protect the LFP particles while optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring
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research team. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes
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, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints
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. The successful candidate will collaborate with cross-disciplinary teams (biologists, engineers, chemists) to design, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy
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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical kinetics principles. Key Responsibilities: Develop and optimize adsorbent catalytic