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We are looking for a motivated Senior Research Associate in Algorithms and Complexity Theory. What We Offer The University of Oxford is a stimulating work environment, which enjoys an international
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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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, engineering, or a related field. Strong programming skills and experience in machine learning or statistical modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning
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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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algorithms based on neural activity data (local field potentials, LFPs) from key deep brain stimulation targets including the basal ganglia and thalamus. Auxiliary data available to implanted devices include
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research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs, research assistants
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responsibility for carrying out research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs
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frameworks, database architectures, and decision-support tools. The role also involves contributing to the design and implementation of AI algorithms, assisting in the development of research publications, and
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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will