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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points
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We are seeking a skilled AI Systems Developer to grow and maintain the University System of New Hampshire AI software platform. The ideal candidate will have strong software engineering skills with
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will develop your PhD research project within this broader research agenda and contribute to empirical research in the industrial organization of infrastructure utilities. Your responsibilities Conduct
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considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present
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efficiency-oriented methods, and disseminating research outcomes through publications, collaborations, and open-source contributions Key Responsibilities: Develop accelerated AI/ML and robotics algorithms
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
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other qualifications: Experience in scientific programming and algorithm development. Knowledge/experience in wireless communication systems and the theory behind. Knowledge/experience in information
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interdisciplinary research across AI hardware, software, and algorithms. AI Accelerators, ML Algorithms, AI Frameworks, and Model-System Codesign have been focus areas in the past - we are always excited to sponsor
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The Position This will involve experimental design, software development and data science, carrying out research and development of models to predict and diagnose asset health condition. Candidates