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. DVXplorer), and tactile/force sensors. Strong background in computer vision and deep learning, with practical implementation experience. Proficiency in programming with C++ and Python, including use of ROS
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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus
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learning or AI methods in healthcare research, particularly within digital trials or real-world data studies Expertise in analysing complex digital health data, including wearable sensor data, mobile health
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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mechanics, or coupled aero-thermo-mechanical systems; c) development of advanced algorithms, numerical schemes, and high-performance software for simulation of complex physical systems, including fluid
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relevant research techniques and methodologies Strong publication record commensurate with the applicant’s career stage. Algorithmic and model development skills, and a familiarity with relevant machine
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new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised
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modalities, including imaging, text, social and clinical data. The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder
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mechanics, or coupled aero-thermo-mechanical systems; c) development of advanced algorithms, numerical schemes, and high-performance software for simulation of complex physical systems, including fluid
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare