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(REA) through EU Call HORIZON-WIDERA-2023-TALENTS-01: We are looking for applications for the following role: - Research PhD fellowship on novel microfluidics and machine learning tools for unravelling
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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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Location: Central Cambridge We are seeking a highly motivated Research Assistant/Associate in Machine Learning to join an interdisciplinary project at the University of Cambridge focused on machine
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the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
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Associate: Hold a PhD in machine learning, computer engineering, applied mathematics, computational neuroscience, or a closely related discipline, or equivalent research, industrial or commercial experience
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling
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asynchronous AI-led chemical optimisation across chemistry laboratories¿. This role sits at the intersection of robotics, machine learning, and chemistry, aiming to develop robotic systems that work
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argumentative agentic AI approach for chemical development settings based on reinforcement learning but able to shape rewards with the help of ontological knowledge as well as expert knowledge from humans and
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closely with their supervisors and will produce a PhD based on four papers of a publishable standard. PhD students also acquire teaching experience by providing teaching support in our undergraduate
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and