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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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8 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Physics » Condensed matter properties Physics » Optics Researcher Profile First Stage
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where there is no clear or well-defined solution. SSM emphasizes understanding problems from multiple stakeholders' perspectives, facilitating the exploration of different viewpoints and fostering a
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data that covers multiple CCs. Collaborate with other PhD researchers within the ECCO (Empowering Citizen Collectives) consortium, which brings together 11 PhD projects across Dutch universities. Work
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technologies employing IoT. Responsibilities and tasks Organising and conducting full-scale sea trials data collection using the Internet of Things, sensors and NMEA 2000 Analysing the speed-power performance
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the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages
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must achieve net zero emission by 2050 and 55% emission reduction (‘fit for 55’) by 2030 as agreed in the European Green Deal and comply with the FuelEU Maritime and EU Emissions Trading System
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Teaser Text We invite applications for a PhD/PD position on ANIMATE MATTER funded by the consortium “Emergence at all Scales”. The aim of this project is to unravel the principles underlying
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. Given the nature of the question, the researcher is expected to cover multiple cities in multiple countries in the majority world. The longitudinal approach covering multiple decades likely calls for