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good with hand tools? If so, we want to hear from you! About you The role ideally would suit a candidate who is a hands-on technician with a strong technical foundation and the drive to learn. We’re
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significant step forward in machine translation capabilities. However, "NMT systems have a steeper learning curve with respect to the amount of training data, resulting in worse quality in low-resource settings
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/scholarships Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions About the project We’re thrilled to announce a unique
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modelling and machine learning to join and lead a dynamic international team of early-career researchers. This exciting role is part of a cutting-edge project investigating the structural integrity
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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science, AI, software and cybersecurity, human-computer interactions, and nature-positive innovation Enjoy a supportive academic environment that values creativity, rigor, and societal relevance About
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computer skills, including Microsoft Word, Excel, and HR information systems. High attention to detail and accuracy while managing a high volume of work. The ability to work autonomously, exercising sound
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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pathophysiology. Significant expertise in these areas is essential, and experience in artificial intelligence, machine learning, or simulation as applied to medical imaging will be highly regarded. As a key member
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transformative work in artificial intelligence, machine learning, and data science, work that’s improving lives, informing policy, and driving industry forward. We’re proud of our inclusive culture, and we