30 phd-in-architecture-interior-design-built-environment research jobs at King Abdullah University of Science and Technology
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technological education and research, acting as a catalyst for innovation, economic development, and social prosperity in the region and the world. Based near Jeddah, Saudi Arabia, KAUST has attracted top-notch
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expertise incorporates three main areas: Design of materials in representative environments of energy applications: In-situ testing facilities and characterization techniques (Generation of unique databases
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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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research on the synthesis of nanomaterials for applications in energy and the environment. Apply at https://kaustforms.formstack.com/forms/hiring_yavuzlab for consideration. The positions are available
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, this research will contribute to global efforts toward constructing wheat super pan-genome. Offer We offer a highly international, dynamic, ambitious, and team-oriented scientific environment. KAUST provides
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. Collaboration with clinicians and biologists. Active participation in the development of the projects (e.g. design, conceptual development, etc) Collaborate with the development of any bioinformatic development
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world for citations per faculty according to QS rankings and offers an unparalleled environment for innovation and research. For more information, visit www.kaust.edu.sa . About CREST The Center for Renewable Energy
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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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the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory expertise incorporates three main areas: Design of materials in representative environments of energy applications
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to Single Cell Analytics. The Living Systems Laboratory (livingsystems.kaust.edu.sa) offers an excellent interdisciplinary environment where experimentalists work closely with computational experts utilizing