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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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drivers of tropical forest biodiversity. Develops AI/ML methods to improve species distribution predictions, including model training, feature selection, hyperparameter optimization, model comparison, and
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; • Provide scientific and technical expertise related to flow cytometry, single-cell genomics, sequencing, and CONNECT technologies, including support for the implementation and optimization of research
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assessment of procedural and technical performance Implement and optimize on-device and edge AI solutions for real-time or near-real-time inference Work closely with clinical and technical collaborators
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: Develops, oversees, and optimizes a high-throughput, highly multiplexed single-extracellular vesicle (EV) proteomics platform based on interferometric and fluorescence microscopy. Establishes and validates
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across