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) deliver evidence-based neurorehabilitation interventions during these windows. The individual selected for this position will contribute to multiple projects carried out in the lab, including an NIH-funded
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), including research project supervision and teaching of research skills. What do you have to offer A PhD in neuroscience, psychology, computer science, or a related field; Peer-reviewed publications based
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their expertise together to establish neural organoid models recapitulating aspects of neural-microglia interactions in neurodegenerative diseases at Ghent University. About project MINDFUL: Lipid accumulation in
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network
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well as an OPM MEG setup (presently being established). Computer-controlled visual, auditory, olfactory and somatosensory stimulation as well as behavioural response monitoring and eye-tracking systems
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problem solving skills. Thorough knowledge of web, application and data security concepts and methods. PhD degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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, accurately and securely. Goal of this PhD project High-capacity neural models, such as transformers, have been pivotal for establishing general-purpose models for a wide variety of natural language tasks
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neurorehabilitation interventions during these windows. The individual selected for this position will contribute to multiple projects carried out in the lab, including an NIH-funded study examining the feasibility
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware