28 developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at NEW YORK UNIVERSITY ABU DHABI
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to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant to wireless technologies, in coordination with academic and industrial
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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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opportunity to shape a dynamic academic division at a pivotal moment in the university’s evolution. The Dean will lead a vibrant community of scholars who advance foundational and applied research on some of
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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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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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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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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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initiative focusing on designing and developing novel medical devices for ultimate human use. Laboratory for Advanced Neuroengineering and Translational Medicine oversees a variety of exciting projects
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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