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, encompassing organic and polymer chemistry, membrane science and engineering, and electrochemistry and electrochemical engineering. Drawing on these complementary specialisms, we focus on the function-led design
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for chemical and morphological characterization. The candidate should preferentially have a PhD in chemistry, polymer science, or membrane preparation and characterization. Besides the salary (contract of 2
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Three postdoctoral positions at the King Abdullah University of Science and Technology (KAUST) under the mentorship of Prof. Jürgen Schmidhuber.This project, located at the intersection
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the world, with more than 80 nations represented on campus. We are seeking a motivated, self-driven scientist with a PhD in plant genomics, evolutionary biology, bioinformatics, or a related field. Ideal
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level (Preferred) Experience with Red Sea oceanographic processes About KAUST KAUST is an international, graduate research university dedicated to advancing science and technology through
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As part of a major initiative to strengthen its research in Marine Science, the Marine Science Program (MarS) in the Biological and Environmental Science and Engineering (BESE) Division at KAUST is
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Postdoctoral Position ‘The history of wheat – a haplotype approach’ The group of Professor Simon Krattinger at KAUST is seeking a highly motivated, creative, and talented postdoctoral fellow with a keen interest in genome biology, evolutionary biology, crop domestication history and...
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The Machine Learning (ML) group led by Professor Ricardo Henao at KAUST (King Abdullah University of Science and Technology) has multiple openings for Postdoctoral level positions to conduct
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. Responsibilities Development and optimization of perovskite-based solar cells at different levels. Developing large-area perovskite solar cells utilizing KPV-LAB's baseline processes. Performing accurate device
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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