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biomaterials into a microfluidic cornea-on-chip platform. Rapid prototyping of microfluidic devices based on biocompatible tapes. Integration of TEER sensors with the microfluidic chip platform. In-Chip EIS
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variety of fields including optics, sensors, lasers, materials, cryogenic cooling, vibration damping, vacuum and controls. The ETpathfinder Smart Skills lab is a new initiative with the aim of providing
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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering
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processing and estimation algorithms for positioning in high-dynamics NTN scenarios, accounting for satellite mobility, Doppler effects, and time-varying propagation conditions Exploring GNSS-5G coexistence
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or MATLAB, integrating data preprocessing, feature extraction, and classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high
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role Optimize monitoring strategies for predicting climate-driven slope risksShift from expert-driven, semi-random sensor placement to model-based Optimal Experimental Design Improve parameter
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machine learning (ML) models and optimization algorithms specifically designed for highly dynamic satellite communication (SatCom) systems that can handle networks of varying sizes and configurations