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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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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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study examining the feasibility of poststroke real-time EEG-informed transcranial magnetic stimulation (TMS). Additional projects examine neural control of grasping behaviors and brain oscillatory
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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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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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PhD applicants will have obtained their doctoral degree from a PhD program with a strong foundation in basic, clinical, behaviorial, or social science with documented research training. • MD/DO trainees
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of poststroke real-time EEG-informed transcranial magnetic stimulation (TMS). Additional projects examine neural control of grasping behaviors and brain oscillatory mechanisms of descending motor output. Most
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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disorder (ASD). Projects can be tailored to aligned interests of the applicant and the lab. Applicants must hold a PhD by the start date. Individuals with a strong background in systems or computational
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the neurophysiology of cognition using Neuropixel and other high-contact number probes in the cortex and hippocampus in human neurosurgical patients. High-density electrodes for the study of intracranial neural