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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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. vision–language and multimodal models) often perform well during training but degrade after deployment due to changes in data, environment, sensors, or user behaviour. The goal of this PhD is to design
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The group of Prof. Ulrich Schmid at the Institute of Sensor and Actuator Systems (ISAS) at TU Wien invites applications for a PhD position starting in July 2026 in the field of MEMS resonators
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characterization of a cold optical filter bench inside a dilution refrigerator, and the evaluation of its performance when coupled to a transition edge sensor (TES) or superconducting nanowire single-photon detector
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of sensors and devices on novel substrate materials, and develop novel active materials and fabrication methods to integrate all functionalities into these substrates create a database for passports and life
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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Monitoring of grazing animals using sensors and data science. University Liege (BE) & University College Dublin (IE) Position I Assessing soil and crop health across sugar-beet producing farms. Poznan
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materials in the area of acoustic sensor and actuator technology Collaboration in an interdisciplinary research team with external and internal partners Your qualifications: A university degree (master's or
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role Optimize monitoring strategies for predicting climate-driven slope risksShift from expert-driven, semi-random sensor placement to model-based Optimal Experimental Design Improve parameter