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PhD Scholarship in Design optimizer tool and predictive control system of a Megawatt Charging System
deliver cutting-edge research, provide top-notch designs and developments on power electronics, powertrains and smart green energy solutions with intelligent control systems for tomorrow's mobility
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for a strategic and challenging PhD position with the topic ‘Direct visual process quality feedback to optimal machine operation in sustainable manufacturing’, under the supervision of Prof. Jeroen De
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. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback. Key principles guiding
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soil C and N cycling, non-destructive visualization of soil structure and plant roots using X-ray CT Micro2Soil Laboratory, Department of Biochemistry and Microbiology, FW-UGent (prof. Caroline De Tender
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staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas
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intelligence. In these research areas we focus on 1) foundations, 2) system design, and 3) applications. IDLab collaborates with many universities and research centres worldwide and jointly develops advanced
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(https://idlab.ugent.be/home ) performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas we focus on 1) foundations, 2) system design, and 3) applications
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advanced and intelligent optimization and simulation techniques for warehousing processes and their related activities. The research will be in close collaboration with a 3rd party logistics service provider
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and near infrared, mid infrared and advanced machine learning and artificial intelligent modelling to enable accurate monitoring of nitrogen mineralization rate to enable understanding and improving