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acceleration. While optical sensors have great advantages, they are challenged by high cost and the difficulty to distinguish various physical quantities. We address these challenges by developing broadband
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bipolar disorder. You can make it happen. Join our project Wearable sensors for monitoring of sweat metabolites. Job description Patients with chronic conditions regularly need to visit the hospital
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methodologies in urban planning. This PostDoc position focuses on AI-based recommender systems to guide stakeholders in choosing a mobility system design. Specifically, the research builds on RLHF techniques
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resilient infrastructure? Would you like to integrate advanced AI techniques with heterogeneous UAV-based sensor data for the inspection and maintenance of critical transportation infrastructure, addressing
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. Caterina De Bacco from the Network Architecture and Services Group. You’ll become part of a diverse, enthusiastic team of academic staff, PhD students, and postdocs in the Network Architectures and Services
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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students, senior researchers and postdocs, and a technical and administration support team. In our research group you will get all the support, training and coaching you need to grow your career to Associate
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to transform EO data into reliable, transparent and actionable intelligence is critical. You will explore novel approaches for exploiting multi-sensor satellite data — such as optical, SAR, thermal, and
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sensor, multi buoy array deployed on Lake Victoria. You will explore the field and coordinate with local partners; oversee the integration, testing and scientific readiness of the sensor suite; support
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn