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are curious, collaborative, and eager to make a difference at the intersection of marine ecosystems and human health. Expectations The successful candidate will: Examine the variability in nutrient content
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the world to advance research. More than 120 different nationalities live, work and study on campus. KAUST is also a catalyst for innovation, economic development and social prosperity, with research
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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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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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testing. Develop and validate electrochemical-thermal-mechanical models to simulate battery behavior under normal operation and failure conditions, including thermal runaway initiation and propagation
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groundbreaking filtration and extraction processes. Key Responsibilities: Participate in and lead the development of lithium-ion battery recycling technologies. Develop advanced separation technologies including
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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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by Human Resources. Selection process Only applications providing all requirements will be considered further. Applicant requirements are as below. They should be numbered and attached
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spectroscopy, and PPMS. Use cleanroom nanofabrication processes to build 2D-material-based electronic devices. Design, execute, and troubleshoot experiments. Publish research findings in high-impact journals and
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-body quantum geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , Non-equilibrium quantum physics , Physics-informed machine learning , Quantum chaos