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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working
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to be able to engage in deep critical thinking to develop theoretical insights, have excellent verbal and written communication skills, the ability to work independently and contribute positively to a
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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execution environments (Intel SGX). The University is committed to equality and diversity. Research staff at the Department are supported and encouraged in their career development through mentoring and early