14 evolution-"https:"-"https:"-"https:"-"Multiple" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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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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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Demonstrated research excellence through peer-reviewed publications. Experience with programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit
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, methodology development, total synthesis of natural products, photoredox or electro-catalysis, and computational mechanistic studies. We are seeking highly motivated individuals who, beyond technical excellence
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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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theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in
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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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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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Responsibilities The PDA will conduct research to design and develop optical wireless communication systems. This involves the development of mathematical models for signal transmission/reception, derivation
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation