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Field
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resource efficiency. A physics-based model for monitoring the condition of helicopter components is being developed as part of this project. With the help of flight test data, this model is to be calibrated
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detection and visualization, physics modelling and vibration characteristic identification techniques will be included in the digital twin frameworks. AI techniques will be further developed for simulating
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applied in Africa’s livestock sector. This work will involve modelling analyses using methodologies to be developed by the candidate in collaboration with their supervisors. This is one of two positions
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. You will work on a strategic research project funded by the Flanders Make. In this project we want to research and develop a transformer-based framework that couples with physics-based models to handle
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this model to calculate the impact forces during a collision between the robot and either a human or its environment. Based on these calculations, you will identify the conditions in which the robot can
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stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance assessment tools for simulating the CO2 absorption process in
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) to simulate material degradation under coupled mechanical-electrochemical conditions. You will start working on in-house implemented coupled deformation-diffusion-degradation material models, and focus
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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approaches for N flux modeling and analysis. The successful candidate will be responsible to answer research questions related to the potential of integrated framework of sensing, modelling and control