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Dhahran, Eastern Province, Saudi Arabia (full-time, on-site) “Dream Big and Accomplish” with KFUPM, located in Dhahran, Saudi Arabia. We invite applications for our Postdoctoral Fellowship positions across a wide range of diverse and cutting-edge fields. Opportunities exist within our...
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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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. 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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engineering. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in the development of patent
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for the following research themes: Heterogeneous Catalysis Metal Capture from Water Electrochemical Water Splitting Process Design and Scale-up
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research activities, including experiment design, execution, and troubleshooting. Publish research findings in high-impact journals and present at international conferences. Compensation Package: Competitive
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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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spectroscopy, and PPMS. Use cleanroom nanofabrication processes to build 2D-material-based electronic devices. Design, execute, and troubleshoot experiments. Publish research findings in high-impact journals and
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. · Collaborate with interdisciplinary teams, including chemists, material scientists, and engineers. · Manage day-to-day research activities, including experiment design, execution, and troubleshooting
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of the KAUST BioE program . Taking aim at boosting public health and disease prevention we are contributing to KAUST’s Smart Health Initiative . KAUST is an international graduate-level research