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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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, sensing and optimization of the electromechanical aspects of industrial machines, with an emphasis on Industry 4.0 technologies such as machine vision, AI or digital twins. A digital twin can be defined as
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known for its research on thermal energy. Both experimental and numerical techniques are used in the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to
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model of the ultrasound-sensitive hippocampal formation as environment. The candidate will develop surrogate models of the hippocampus to allow for more extensive optimization of the controller. Finally
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the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to support more energy efficient systems in buildings and industry. With this, the research contributes in
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-guided therapy provides a promising line of treatment for PXE and related EC disorders. First, we will optimize the detection of pathogenic variants that are missed by current screening approaches. We will
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already conducted research in the field of control engineering, system modelling, design of optimal and/or adaptive controllers, machine learning. WHAT WE CAN OFFER YOU We offer a full-time position as a
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radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a
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your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in