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Interdisciplinary Collaboration Program in a project that spans oceanography, ecology and mathematics. The position will be based at NYU Abu Dhabi starting September 1, 2025 for two years, renewable depending
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knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields
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addressing complex nanoscience challenges. By expanding and consolidating the operation of an Interoperable Distributed Research Infrastructure for Nanoscience (IDRIN), the project supports research
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complex terrain regions. CMAS does this by innovating on the fronts of meteorological data acquisition, analysis, and interpretation (https://www.bnl.gov/cmas/). The CMAS work portfolio is conducted within
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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analysis of in situ and remotely sensed marine optical data. Experience with advanced statistical methods for analyzing complex ecosystem and environmental datasets. Proficiency in spatial data analysis
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
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data-driven infection research, such as the development or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience
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or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience of teaching in undergraduate and graduate education can be an