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Field
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data
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optimize battery management systems (BMS) and energy management algorithms for dynamic flight conditions. Develop low-power embedded firmware for real-time sensing and control. Conduct hardware prototyping
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university. Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty. Working on the development of planning algorithms for bimanual
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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of SCADA data, Artificial Intelligence algorithms, and the Digital Twin of photovoltaic assets, allowing the identification of anomalies and patterns indicative of imminent failures.; ; The main objectives
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of the research group. Key Responsibilities: Conduct research in CV/ML/robotics for infrastructure monitoring and automation. Develop algorithms and/or systems for sensing, perception, and robotic applications
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through
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mathematical and computational engine of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat
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topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant
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Media, Online behavior, and Language (SMOL) project at the Department of Communications and New Media, National University of Singapore is dedicated to the interdisciplinary study of humans and algorithms