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advances in the relevant discipline and seek to apply this knowledge to technical activities to further enhance the learning experience and/or contribute to the delivery of research aims. 9. Collaborate with
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directed. 6. Instruct new staff and students on the safe working of Schools 3D print farm and laser cutting facilities. 7. Understand and acknowledge the risks associated with the job and approach work in a
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the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid background in signals and systems as
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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LSU Scale 8 £32,674 per annum, pro-rata for part-time Full-time, open ended role LSU Scale 8 £32,674 per annum, pro-rata for part-time https://lsu.staffsavvy.me/apply/position/hr-manager As the LSU
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on continual reinforcement learning for real-world systems. The grant provides a stable, well-resourced four-year research environment to tackle a problem that classical RL theory is not built for: real systems
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to detail. C6. An understanding or ability to learn and appreciate the risks of manual handling and risk assessments C7. Understand the legislation around using human tissue in research and GDPR. Desirable D1
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a