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statistical data science. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy . To apply, email Associate Professor Nicole White and include your
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Status: Closed Applications open: 26/02/2025 Applications close: 30/11/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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questions about the recruitment process, please contact HR Consultant Anja Isaksen, e-mail: [email protected] . Application deadline: 18.10.2026 ----------------- For practical information about working
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7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics Researcher Profile First
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
recruitment process, please contact HR Senior Consultant Hedda Winnberg, e-mail: [email protected] . Application deadline: 01.10.2026 ----------------- For practical information about working at NTNU
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at
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this context, making use of advanced in-situ measurement techniques like radar technology. A post-doc will assist the work as well. The experimental validation study is accompanied by reactor engineering
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and/or external study is obtained). Have an Honours or Master’s degree (or equivalent) in one of these areas: Engineering, Computer Science, Human Factors, Psychology, Data Science, Robotics, or a
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering challenges of maritime nuclear propulsion, creating an unusually dense and collaborative internal