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Vacancies PhD Candidate Infrastructure monitoring and NaTech disaster response with drones and machine learning Key takeaways The project is part of a large-scale research project funded through
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social justice? Are you interested in examining the deep existential impacts of Long Covid on patients? Then we would encourage you to apply for this PhD position, wherein you will have the opportunity
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interdisciplinary approach combines research in genetics, physiology and pharmacology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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available for a four-year term as part of the recently awarded ELSA Lab for Technical Industry (ELSA4TI) (funded within the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of
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, visiting researcher opportunities, access to modern GPU clusters for deep learning research, and strong academic-industry connections. CADIA's commitment to open science aligns perfectly with this project's
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch