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in motor control by computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting
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. She is intrigued by the lives and relationships of teenagers, and how parents can optimally contribute to their child's positive development, mental health and well-being, despite their decreasing
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outcomes (Stockholm University (SU), Sweden) DC6: Sex/gender differences in psychedelic psychopharmacology (National and Kapodistrian University of Athens (NKUA), Greece) WP3: Clinical Research – Optimizing
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. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and reusability
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to turn partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control; Identifying pathways towards the integration of domain knowledge about MRI
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, Radboud University) and industry partners (e.g., Philips, Kalcio Healthcare). Conduct and publish high-quality scientific research, including studies on workflow optimization, AI application in healthcare
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biotypes; within-target personalized coil positioning, using MRI-guided neuronavigation and network-based metrics to optimize stimulation for each individual; n-of-1 trial design in clinical care, embedding
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We look for a researcher with a passion for studying the function of the brain in motor control by
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modelling, and classical OR); Designing intelligent release, workload control and material planning methods that stabilize flow, improve on-time delivery, and reduce firefighting; Integrating uncertainty
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consortium also includes industrial and clinical partners. This particular PhD project aims to develop the in-vitro vasculature-on-chip models, microfluidic chips in which controllable and physiologically