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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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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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work at the Electrical Energy Laboratory in the Tech Lane Ghent Science Park in Zwijnaarde. Job profile You hold a master of science in engineering (technology), preferably in electromechanical
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improves focus, while overload leads to inefficiency and cognitive fatigue. Novelty and Engagement: Generative AI will be used to introduce a controlled level of novelty in learning content and environmental
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disciplines: computer science/engineering or biomedical engineering. You have an excellent academic record of accomplishment. In particular, you have a good command of, and a strong interest in, computer
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nematode community to N mineralization and N2O emissions in realistic soil conditions. In this project, we will set up unique multitrophic experiments controlling for the presence of specific trophic groups
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for a m/f/x PhD Student – Subject: Quality Issues in cell and gene therapies YOUR JOB Development and validation of quality control assays for ATMP characterisation Design, optimization and validation
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gap by (a) implementing a large randomized controlled trial, and (b) involving stakeholders (adolescents, teachers, parents, organizations) via focus group interviews. In a first phase, we will collect
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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a
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of the research is to obtain a doctoral degree Job profile Master's degree in (bio)medical sciences, biomedical engineering or related discipline Experience and/or strong interest in preclinical research