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. The successful candidate will contribute to the development, optimization, and scale-up of advanced pretreatment solutions for seawater desalination. The selected candidate will join a dynamic, collaborative, and
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste processing and valorization; Operate and maintain mineral processing and analytical instruments; Design and
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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communications systems. The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
–nutrient coupling. Develop nutrient (N, P)-enriched biostimulant matrices for enhanced water–nutrient coupling and improved plant nutrition. Design, synthesize, and optimize functional materials derived from
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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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, synthesis, and optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of