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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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biology, genetics, or a closely related quantitative field. A degree in computer science is especially valuable due to the software engineering, algorithmic, and AI/ML components central to this role
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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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Mar 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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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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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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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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patient care in radiation therapy. Qualifications and Skills Ph.D. in Medical Physics, Physics, Mathematics, Electrical Engineering, Computer Science, Biomedical Engineering, or a related field is required
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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