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optimization of connectors Fabricate connectors and conduct lab tests Publish several papers in top journals. Write proposals for further development. Mentor students Job Requirements: PhD degree in civil
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics
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degree or equal certificate in the field of electrical engineering or another related field; Strong skills in power system modelling and optimization; Good command of the English language and good English
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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pathogens, such as those causing wheat blast and soybean red leaf blotch. Acquire skills in collecting, processing, and analyzing whole-genome sequence data. Learn to design, develop, and optimize fungal
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will be encouraged to develop thermodynamic interpretations of these mechanisms to optimize their efficiency. Analytical computations, processing and fitting of experimental data, paper writing
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interactions in vitro and in vivo. Here, the work will be devoted to the derivation, characterization and optimization of neural progenitor cells from human induced pluripotent stem cells for in vitro cell