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Economics » Environmental economics Engineering » Industrial engineering Environmental science » Ecology Technology » Environmental technology Computer science » Informatics Engineering » Process engineering
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
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sustainable careers all highlight the active role individuals play in shaping their career trajectories. In reality, however, many workers face circumstances that complicate this process. Financial insecurity
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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environments, taking into account parameters such as fibre type, coating, groove geometry, embedding depth, bonding layer and host material. Developing and integrating arrays of Fiber Bragg Grating (FBG) sensors
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with embedded programming on modern microcontrollers (e.g. ARM Cortex M). Knowledge of software-defined radios, wireless IoT protocols, digital signal processing, and/or real-time software systems is a
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emerged as an alternative to conventional ML models, promising a more efficient processing of temporal signals at the edge. This includes a wide range of signals, among which cortical activity for brain
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/or image processing Experience in protein expression and purification Knowledge of kinase signaling and regulation Evidence of research excellence, such as publications, conference presentations
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technical evaluation reports on the developed solutions, implementation, and experiments, leading to publications in major conferences and journals in the field of wireless communications, signal processing