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-Senftenberg (BTU) combines top-level research and knowledge transfer at an international level, thereby creating an interdisciplinary innovation network and an excellent hub for science and technology. Together
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
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, new, or current IT systems; Maintain technology to detect and prevent cyber threats to Mason's business enterprise including network sensors, firewalls, endpoint protection, anti-virus, and security
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or methodologies (e.g., drone infrastructure, networked sensors, AI-enabled control, and communication systems) into instructional and research setups, ensuring safety, reliability, and compatibility. Supports and
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) using empirical methods such as ground-motion prediction equations and observed data. Feasibility study for a low-cost sensor network aimed at characterizing the variability of ground shaking at the urban
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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Helps us to derive novel climate data by combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position