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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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, wireless networks, software defined networks (SDNs), and future Internet paradigms, underwater communications, satellite communications; Web security and systems security (e.g., remote attestation); User
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 1 month ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) Development of soft-sensors connected to particle-based separation models to control flotation processes With cutting-edge research in
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should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. About our
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and analysis activities using regulatory monitoring networks, mobile and stationary monitoring platforms, distributed sensor networks, and remote sensing tools. In addition, the appointee will develop
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sufficiently high for them to derive the full benefit from the network training Further details on Marie Skłodowska-Curie Early Stage Researcher eligibility criteria can be found on the following link (https
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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for someone to start as soon as possible. The successful candidate will work closely with industry and academic partners within the CoSTAR Network. This position offers the opportunity to contribute to cutting