19 phd-in-architecture-and-built-environment uni jobs at King Abdullah University of Science and Technology
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to integrate engineering tools and solutions for challenges and opportunities in biology. The candidate should have a strong commitment to excellence in teaching at the graduate level (Master's and PhD levels
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PhD levels). The candidate will teach in the BioE curriculum and is expected to contribute to the current list of core courses and electives. The successful candidate is also expected to provide
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is essential. General Information: The KAUST Bioscience Program offers a unique environment fostering intellectual growth, with access to world-class laboratories, advanced instrumentation, and
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environments within the Red Sea. The successful candidate is expected to develop top-notch research programs addressing the biogeochemistry of Red Sea ecosystems including, but not limited to, coral reefs
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Ph.D. in Oceanography, Marine Science, Environmental Science, or a closely related field A strong publication record in relevant scientific journals Demonstrated ability to secure external research funding Experience in conducting both traditional and interdisciplinary oceanographic...
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@gmail.com or upload an application. As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities. You will work in an exciting international environment with researchers
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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 seeking to expand research, higher education and innovations in the field of Marine Data Modelling...
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play a key role in providing technical and operational expertise, and support to the research community in a highly collaborative and multi-cultural environment. The successful candidate will lead the
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, scripting, backup, monitoring and automation skills are required. This is a highly technical role requiring high performance computing (HPC) or large scale computing experience, in complex environments.