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the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio-inspired assistive
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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. Application procedure Your complete online application must be submitted no later than 18 July 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given
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-resolution imaging and molecular phenotyping Experience with in vivo electrophysiology in rodents including device buildings, surgical procedures, freely-behaving recording procedures, signal processing and
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications