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- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
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- Delft University of Technology (TU Delft); 10 Oct ’25 published
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
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Field
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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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social science / (social) network science to support the growing activities of the newly established Urban Impact Lab and of PLANET-NL, a collaborative inter-university research group. The positions
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spectrum sensing methods. To contrast network-side planned radio coverage with the actual experience of the end-users and build anomaly detection approaches, traffic and user patterns forecast, answer what
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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. Objectives: Identify common security and privacy risks in EV charging networks. Develop AI tools that can detect unusual activity and explain why alerts occur in simple terms. Design privacy features that give
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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PhD Studentship: Population-Based Indirect Damage Detection System for Railway Bridges The UK’s railway bridge asset stock represents over 80% well-aged (>50 years) infrastructure, often carrying
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of the BUG-ID Marie Skłodowska-Curie Doctoral Training Network (DN), funded by the European Commission. BUG-ID consortium has a mission to improve infection diagnostics. All BUG-ID PhD students will be
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(BRIGHT). These PhD positions are part of the BUG-ID Marie Skłodowska-Curie Doctoral Training Network (DN), funded by the European Commission. BUG-ID consortium has a mission to improve infection