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Field
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the gathered survey data to explore advanced platform compensation techniques, map matching and magnetic navigation solutions. This project aims to investigate the advantages of multi-sensor fusion (inertial
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. The analyses will include large-scale epidemiological health data as well as daily life activity data collected using wearable sensors, with a strong emphasis on the application of machine learning methods. In
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and monitoring. Develop methods for multimodal sensing, semantic understanding, information extraction, and digital twin integration using images, written reports, related sensor data. Execute numerical
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or geophysical sensors. Ability to collect, process, and analyze complex environmental datasets. Proficiency with scientific programming and data analysis software. Ability to prepare technical reports
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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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segmentation, localization, mapping and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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. Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS)– a cyber physical system (CPS) for aquaculture, to sensors and platforms for maritime applications
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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instrumentation, sensors, and custom-built research tools • Develop robust and reproducible methodologies for automated synthesis, formulation, and characterization workflows, including meticulous documentation