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passionate about the nuances of sensory experiences and how we communicate them? Join the Centre for Language Studies (CLS) as a PhD candidate to delve into the interplay of experience and concreteness in
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an active interest in empirical legal research. As the PhD position will involve working on a large dataset of case law in Danish, applicants must be able to read Danish or a related Nordic language
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to English or a Scandinavian language, if the original is not in any of these languages. It is also required that the applicant enclose a review from the Norwegian Directorate for Higher Education and Skills
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. Applicant whose education is from another country than Norway, need to also attach a certified translation of the diploma and transcript of grades to English or a Scandinavian language, if the original is not
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What you'll receive You'll receive: a stipend scholarship of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to 6 months if approved for your candidature. This is the full-time, tax-exempt rate which will index...
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language skills (English). Suitable candidates will be invited to the recruitment symposium by 21.06.2024. Recruitment symposium (22.07.-02.08.2024): Qualified applicants will be invited to an online
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to 1 PhD student per academic year). Further information will be provided at application stage. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5
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(completed with Distinction or a High Merit), and a strong wish to pursue a PhD with an original research project. If your first language is not English, you will need to meet the minimum English requirements
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MSc is advantageous. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic
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domain knowledge and expert feedback using methods from domain adaptation, transfer learning, and large-language models and expert feedback in process planning. Digital twin-based learning and optimization