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to develop an online framework for assessing fatigue, structural integrity, and operability of multiple floating offshore wind turbines, supported by computationally efficient learning algorithms with
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systems, and subsystems, particularly rotating machines. Data Science – handling and processing large data sets (experience across multiple domains welcome). Research in Artificial Intelligence – including
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. Developing and applying state‑of‑the‑art artificial intelligence and machine learning (AI/ML) algorithms to discover robust prognostic and predictive biomarkers, and design clinically actionable treatment
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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 monitoring, visualization and control system to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically interacting with
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for characterization of CT images. Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images Performance Evaluation: Conduct
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computational imaging. The project aims to develop a novel optical phase and refractive-index tomography platform and computational algorithms capable of overcoming the challenges of multiple scattering in thick
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multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically interacting with building management system to shed signficant loads under varying
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of integrative molecular profiling and large-scale datasets (e.g. pathology images and clinical notes) to enable new discoveries across multiple patient contexts. A specific focus on advancing algorithm
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. Expertise is required or highly desired in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired