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, small non-coding RNAs, and blood-based Alzheimer biomarkers. The PhD candidate will take an active role in all three studies and will develop and lead own sub-projects within each of them, in close
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among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be
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institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
qualitative methodologies, such as case studies and literature reviews, to gain insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and
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researchers the opportunity to develop academically and professionally through organised research training. It is a condition that the person who accepts the position applies for and is granted admission
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cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden
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An exciting job with an important mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working
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Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Working capital
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research on digital transformation from a sociotechnical perspective, which highlights the interaction between technological development and organizational processes and concerns. The aim of the fellowship
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will be the Head of Department. Duties of the position Complete the doctoral education programme Carry out high quality research Develop material integrity predictive framework using different