97 web-programmer-developer-"https:"-"https:"-"University-of-Cambridge" positions in United Arab Emirates
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statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is
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candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in theoretical high energy physics or related field
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environments, hardware platforms, and frequency bands Develop, validate, and document ISAC channel modeling methodologies tailored to the lab’s hardware/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and
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statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is
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related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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on designing and developing novel medical devices for ultimate human use. CENTMED oversees a variety of exciting projects developing new treatments and diagnostics for cardiovascular, neurologic, and metabolic
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Description The Water Research Center at New York University Abu Dhabi seeks to recruit a Post-Doctoral Associate to develop calix[n]arene-based covalent organic frameworks for water purification
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development of cognitive omni-band wireless systems for 6G and beyond. The successful candidate will be jointly supervised by Mahmoud Rasras and Murat Uysal and will work in close collaboration with other
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, development, and characterization of innovative and multifunctional construction materials, including self-sensing and self-healing systems, with applications in infrastructure, oil and gas, and energy
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI