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genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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of organisation-wide processes such as strategy formulation and human resources with R&D; The relationship between organisation-level activities and performance, and national and regional innovation systems
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signal processing, with experience in machine learning, deep learning, or AI methods. Familiarity with semantic segmentation, anomaly detection, or pattern recognition techniques is highly valued. Sensor
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, and combining the resulting digital stream in a smart way. The circuit design in the transmitter and receiver areas will be complemented by researchers in signal processing to investigate these topics
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 30 days ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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theoretical point of view, it is known that martensitic phases in hardened steel, as used in bearings, tend to degrade before the formation of microcracks, marking the onset of (rolling contact) fatigue damage
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desirable. The successful applicants must be enrolled on a full-time basis and cannot hold any other scholarship. Application process Please send your CV and a very brief rationale [2-3 paragraphs, maximum
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are also eligible to submit nominations jointly with a researcher working at a Fraunhofer institute. For details of the nomination process please see the web page Information for nominators
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open up exciting career opportunities? Are you interested in cable technology and condition monitoring and do you have a strong competence in signal processing and machine learning? As a PhD candidate