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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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and training. -Support processing and integration of datasets, including UAV imagery, satellite data, IoT sensor data, and field observations. -Contribute to workflows for AI/ML applications, crop
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, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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G protein and poly-mer brushes. Research experiments should make it possible to determine the limit of detection, specifici-ty and selectivity of biosensors. The sensor response will be realized
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data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects for national and international
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supporting the setup, calibration, and running of laboratory experiments, including the preparation and configuration of sensors, data acquisition systems, and associated hardware and software components
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of Group/Project: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi