97 web-programmer-developer-"LIST"-"https:"-"https:"-"https:" positions in United Arab Emirates
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course bridges theory and practice in modern software engineering, equipping students with the skills to design, develop, test, and deploy production-ready web and mobile applications while integrating AI
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on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS
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Description The Trabolsi Research Group at New York University Abu Dhabi invites applications for a research scientist position focused on the development of covalent organic frameworks (COFs)-based
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on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by the prospective post-doctoral
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Curriculum vitae with full publication list Statement of research interests and plan Transcript 2 Recommendation letters Three sample (recent and/or most relevant) journal publications Contact details of two
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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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on the evolution of Afro-Eurasian world economy during the ‘Bronze Age’ with a particular focus on Arabian desert and the Eurasian steppe outliers of the so-called ‘first civilizations’. We seek a candidate with
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: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling
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January 2026 in London. Location Exact details will be provided to short-listed candidates. Important Timelines CV Submission Deadline: 9 January 2026 Initial Online Interviews: 13-14 January 2026 Final
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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