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Vadim Lozin from the University of Warwick. The general aim of the project is to develop algorithmic meta-classifications, which state that any computationally hard graph problem satisfying some condition
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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and/or pump-probe techniques. Strong optics experience including building and/or adapting setups is essential, and experience working with coding, automation and algorithm development highly desired
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, workforce development and leadership, policy, and advocacy. Background City, University of London along with Otto von Guericke University Magdeburg, Lund University, National Technical University of Athens
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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image acquisition capabilities. Together, we are developing next-generation Ai-assisted robots for colorectal cancer treatment. About The Role EndoTheranostics aims to transform the screening and
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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application. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy
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in our team. Learn more about us here: https://sc.cs.univie.ac.at/ Your future tasks: Active participation in research, teaching and administration, which means: You develop your independent research
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse