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establishing yourself in the field. Candidate Profile: A PhD in Power Electronics is desirable or a minimum Masters level qualification with some industry experience (both in power electronics). Skills
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position as Research Associate / PhD student (m/f/x) Integrating Material Flow Analysis and Digital Twin Approaches to Enable Material Autarky in the Construction Industry (subject to personal qualification
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position as Research Associate / PhD student (m/f/x) Integrating Material Flow Analysis and Digital Twin Approaches to Enable Material Autarky in the Construction Industry (subject to personal qualification
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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: Enhancing full-scale power-speed assessment reliability by using IoT and big data management Summary This PhD research focuses on uncertainty challenges caused by various disturbances (wind, wave, current
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action. This project will establish a new paradigm for neuromorphic sensors, paving the way for next-generation, low-power solutions for IoT and edge AI. By completing this PhD project, you will not only
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of higher education in engineering or fields related to agriculture Enrolled in a PhD programme (Doctoral studies) Skills / Qualifications Background in smart agriculture, environmental monitoring, IoT
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. Reviews by the Gender & IoT project, DSIT, and Ofcom show that everyday consumer technologies, including IoT devices (e.g., smart cameras, speakers, etc), wearables, GPS trackers, and AI-based tools
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. The research explores how AI, IoT, digital twins and data analytics can be integrated into early stages of product and production development to enable resilient, circular and long-term competitive solutions
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures