116 algorithm-development-"Newcastle-University"-"Newcastle-University" Postdoctoral positions in United Arab Emirates
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to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas such as artificial
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) seeks to recruit a postdoctoral research associate to join this new initiative focusing on designing and developing novel medical devices for ultimate human use. CENTMED oversees a variety of exciting
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University Abu Dhabi (NYUAD), seeks to appoint a talented researcher with an excellent record of academic success for a Post-Doctoral Associate position. The research will focus on the development and use
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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to work on the development of responsive membranes with in situ switchable properties, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing
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to recruit a Post-Doctoral Associate (PDA) to engage in cutting-edge research on the development of omni-band wireless systems for 6G and beyond. The PDA will be jointly supervised by Elza Erkip, Qurrat-Ul-Ain
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health