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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Dr. Maryam Alghannam , Assistant Professor at KAUST and Principal Investigator of the Interface & Poromechanics Lab, is seeking a postdoctoral researcher in computational mechanics and multiphysics
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Full-time Hours Per Week 40 Offer Starting Date 9 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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collaborative research program. Maintain rigorous experimental records and reproducible protocols. Develop mechanistic understanding beyond empirical optimization. Publish in high-impact journals in materials
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optical, electronic, and photodetector properties. Responsibilities Synthesize III–V CQDs using air-free colloidal methods. Design and optimize precursor chemistry for InAs-, InSb-, Ag₂Te-, and PbSe/PbS
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of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish research findings in high-impact journals and present at international conferences
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage
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or non-bio-based sources, with applications in energy storage and other emerging technologies. Key Responsibilities: · Develop and optimize hard carbon synthesis processes using bio-based and non-bio