19 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"FCiências" Postdoctoral positions at King Abdullah University of Science and Technology
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Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be
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Professor; Dean of the Physical Science and Engineering Division; Chair of CREST), a Highly Cited Researcher in Materials Science and Fellow of MRS, APS, IEEE, NAI, IoP, RSC, and IMMM. About KAUST: KAUST is
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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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all aspects of these complex problems. In the Composites Lab, you will find skills ranging from theoretical mechanics, applied mathematics, and computer science to material science and chemical
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Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be
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for Energy and Mobility Professor of Mechanical Engineering About King Abdullah University of Science and Technology (KAUST) Established in 2009, King Abdullah University of Science and Technology (KAUST) is a
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research based on advanced theoretical concepts. Prof. Gilles Lubineau Principal Investigator of Mechanics of Composites for Energy and Mobility Professor of Mechanical Engineering About King Abdullah
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. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
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We are seeking a highly motivated postdoctoral researcher with expertise in battery safety, thermal management, and/or computational modeling. This position integrates rigorous experimental
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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