38 machine-learning-and-image-processing-"RMIT-University" PhD positions at Ghent University
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the field.Vacancy 1: PhD (4 years) on experimental and numerical characterization of composites processing for hydrogen tanks[Net salary (after taxes) starting from 2600 EUR/month]Belgium has been taking a leading
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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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correct English language certificate . Approval Procedure The faculty needs to approve and sign the Learning Agreement. After approval, you can continue the procedure in Oasis. After submitting your
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Research ). This link gives an overview from the start until the end of a PhD process. Ghent University has no ‘single point of contact’ for students. You will have to contact different people at Ghent
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the start until the end of a PhD process. Ghent University has no ‘single point of contact’ for students. You will have to contact different people at Ghent University for enrolment, housing and etc. However
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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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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modeling into modern causal inference by combining its strengths with innovations in debiased machine learning, as well as to improve both the statistical efficiency and robustness of debiased machine
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interdisciplinary research team, focusing on human-robot interaction, unconventional robotics, cognitive systems and machine learning. You will have access to the full facilities of IDLab, including high-performance