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practices produced with the help of computer algorithms challenge, subvert and threaten the modernist concept of the author. AI generated creative practices have the capacity to seriously disrupt established
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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Computational modelling of the emergence of somatosensory cortical maps School of Psychology PhD Research Project Self Funded Dr Hannes Saal, Dr SP Wilson Application Deadline: Applications
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impactful and rapid change. The successful candidate will line manage, support, and develop Research Associates and PhD Students, as well as support computational research projects across the PBCI and
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impactful and rapid change. The successful candidate will line manage, support, and develop Research Associates and PhD Students, as well as support computational research projects across the PBCI and
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Stack Software Developer. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs
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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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maintenance, production efficiency, and quality control. While the benefits of ML are significant, its adoption also introduces risks such as data privacy concerns, algorithmic bias, model transparency issues
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Job Purpose In areas throughout society, such as healthcare, finance, e-commerce, crime prevention, education, manufacturing and entertainment, algorithms, processes and systems are being built
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, has been shown to have a synergistic effect in increasing the toughness of composites in some cases. This research is following the recently started research program on understanding the effect of nano