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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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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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technology. You will experimentally test and refine various strategies to establish a robust and efficient protocol. Once successful, this method can be applied not only to genetic research in spider mites but
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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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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine
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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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, and the feedback mechanisms on plant (roots). To this end, we will use 13C stable isotope labelling to track the rhizodeposition as a function of time, and its redistribution over the soil decomposer
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of assays to characterise ATMPs, including potency, identity, purity, sterility (ELISA, qPCR, flow cytometry, HPLC-based analytics) Process development and technology transfer to GMP Development, optimisation
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of non-coding and coding ABCC6 variants. Once pathogenicity is established, we will use CRISPR-nuclease based strategies to correct the genetic defect by increasing endogenous ENPP1 expression for ABCC6
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: 'digital twin' forests. Within your work, you will: (1) use 3D terrestrial laser scanning data to further develop the creation and implementation of digital twins of forests for optical and microwave