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hereafter. The duration of the position is three years. Your work tasks A PhD stipend is available in the field of power electronics, with a focus on developing reliable and circular substrate and integration
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the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions
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provides such a chance. The position is available from 15th January 2027. Reliably detecting heat stress in time has been always a challenge in cattle barn. Early signs of heat stress can be subtle while
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. Qualifications and requirements: We are looking for someone who can work independently, carefully, and reliably, with a strong eye for detail and a commitment to quality. You should be engaged, interested and
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actuation and control. Although research has demonstrated stable levitation and contact-free pumping in laboratory-scale systems, reliable design methods for realistic industrial operating conditions remain
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
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researchers All tasks will be carried out in close collaboration with members of the Plant-PATH research groups and the Centre Coordinator. Qualifications We are looking for a motivated and reliable student who
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to how latency, interference, reliability, incomplete observations, and limited wireless resources affect sensing, inference, and decision-making, and how communication and sensing resources can be
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to how latency, interference, reliability, incomplete observations, and limited wireless resources affect sensing, inference, and decision-making, and how communication and sensing resources can be
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-latency framework for Test-Time Adaptation (TTA). This involves designing autonomous architectures capable of monitoring and maintaining the reliability of unimodal and multimodal foundation models in real