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applications, going from theoretical analysis to implementation and testing on real systems Develop adaptive control and estimation schemes to support hardware implementation Collaborate closely with
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pilot testing Dissemination (e.g. presenting at international conferences) Supervising students and supporting ongoing research activities within the team WHAT WE ARE LOOKING FOR You hold a
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, modular, and reusable scientific code (primarily in Python) following modern development practices, including version control (Git), automated testing, code style/linting, and clear technical
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clinical implementation, testing the impact of personalized TMS parameters using concurrent TMS-EEG. Implement and validate MRI-based electric field simulations (using tools like SimNIBS, Chaospy
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advantageous: 3D cell culture and standard biological assays (cell viability, immunostaining, gene/protein expression); mechanical characterization of soft materials (rheology, compression testing); or