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, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical
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consistency models. These models rest on a joint foundation of deep learning architectural research and mathematical theory. They therefore present an exciting research area for theoretically minded individuals
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of the toolkit. Requirements Specific Requirements You have a Master’s degree in Mathematical Psychology, Human Cognitive Neuroscience, Artificial Intelligence, Biology, Computer Science or a related field. You
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or equivalent degree in computer science, mathematics or a closely related field, or expect to obtain such a degree soon. You are able to work both independently and as part of a team. You are proficient in
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. Requirements Specific Requirements You should hold an MSc or equivalent degree in Computer Science, Mathematics or a closely related field, or expect to obtain such a degree in this academic year. You are able