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Polymer Rheology and Processing to join our dynamic research group at KAUST. The successful candidate will play a pivotal role in executing high-impact, industrially funded projects focused on next
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commercialization potential. The project focuses on next-generation batteries in three parallel research directions: extreme-temperature (high- or low-temperature) batteries, lithium- and/or sodium
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high-quality journals and/or conference proceedings such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, Nature, TPAMI, AAAI, Science, etc. It is an opportunity to develop core algorithmic advances and aim at
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King Abdullah University of Science and Technology (KAUST | Saudi Arabia, | Saudi Arabia | 2 months ago
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University of Science and Technology (KAUST) Open Date Sep 08, 2026 Description Are you passionate about organic electronic materials and doped conjugated polymers, and how they connect processing
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cutting-edge machine (deep) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from
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MXene-based device development, connecting materials design, scalable processing, and device-level engineering. Establish reproducible workflows for MXene synthesis/processing, assembly, device
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advantage. As a device fabrication position, the nature of the work requires a high level of experimental skills and involves the operation of sophisticated deposition equipment. The ability to
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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cell device fabrication and characterization; ii) semiconductor processing; iii) optoelectronic engineering. Applicants should have a strong publication record, good spoken and written communication