18 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions in Saudi Arabia
Sort by
Refine Your Search
-
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
-
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
-
matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
-
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
-
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
-
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
-
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
-
. 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
-
We are seeking a highly motivated postdoctoral researcher with expertise in battery safety, thermal management, and/or computational modeling. This position integrates rigorous experimental
-
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