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We are currently seeking outstanding candidates to join our faculty team within the Physical Science and Engineering Division (PSE) to lead pioneering research in: - Carbon Fiber Manufacturing Ideal candidates should demonstrate a readiness to address these topics through a...
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(KAUST) invites applications for a faculty position at the rank of Assistant Professor (exceptional candidates at the Associate Professor level may be considered). The Statistics (STAT) Program at KAUST
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to multi-omics single cell data. The 3 positions require skills (each in different degrees and balance) on high-performance computing, dynamical systems, machine learning techniques for high-dimensionality
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites
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King Abdullah University of Sciences and Technology (KAUST) invites applications for a faculty position in Emerging Semiconductor Materials and Devices. We are particularly interested in candidates
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The Field Engineer will support the development and deployment of a laser-based system. This role requires hands-on prototyping, electronics development, and software integration for real-time sensing and control. The candidate should have strong field experience, be comfortable working in...
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a groundbreaking filtration and extraction processes. Key Responsibilities: Participate in
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Synthesis position in his research group. This position focuses on developing hard carbon materials derived from bio-based or non-bio-based sources, with applications in energy storage and other emerging
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences