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directly at the edge. The postholder will investigate novel hardware–software co‑design approaches enabling AI‑driven video processing on energy‑harvesting devices under extreme power constraints
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research and gathering data on software application usability and clinical performance testing. Gaining experience developing, implementing and executing research studies. Evaluating software/hardware
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education and/or experience in one or more of the following: Software development (augmented, mixed, or virtual reality) XR hardware platforms (e.g. HoloLens, Apple Vision Pro, Quest, Vive, etc) Human factors
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Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an
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. Perform on-site measurements, troubleshoot hardware issues, and maintain data logging systems. Coordinate with project partners, manufacturers, and facility managers. 5. Documentation & Dissemination
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-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state
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organizational and documentation skills Working knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software