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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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? 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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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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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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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
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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster
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programme Reference Number AE2025-0604 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0604
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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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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://inet.media.kyoto-u.ac.jp/ [Work content and job description] (1) Research on information networks or information security (e.g., network architecture, sensor networks, network management, virtualization technology