26 phd-in-architecture-and-built-environment research jobs at King Abdullah University of Science and Technology
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platform in the field of testing composite materials for in-situ testing in conditions relevant to the energy sector (high pressure, high temperature, extreme environments). Participate in the generation
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pursue this venture. KAUST’s culture embraces a healthy work and life balance. The university campus is located on the Red Sea's shores, built to protect the fragile coastal ecosystem, which includes a
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, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. KAUST provides a highly collaborative research environment, and active engagement
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students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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We seek a postdoctoral associate with PhD degree in Physics, Electrical Engineering, Materials Science or in related fields specialized in acoustic sensors, device fabrication, and electromechanical
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites
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or more of the following areas: Controlled, living polymerization for synthesizing polymers with complex architectures (such as block, star, and dendritic polymers) and characterization of their microphase
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://interfaciallab.kaust.edu.sa ). Expectations: Our goal is to enhance the sustainability of growing food crops and native trees in the desert environment of Saudi Arabia. This necessitates an amalgamation of knowledge and
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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