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two PhD students for this project. Your work focuses on integrating multiple sources for prediction, including common and rare genetic variants, family history, ancestry and typical age of onset. Your
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aims to move beyond one-size-fits-all approaches by personalizing rTMS at every level: target selection, stimulation parameters and alignment with the patient’s current brain state. The project
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