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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria
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of contextual influences. Duties of the position Complete doctoral education leading to a PhD degree. Participation in and contribution to the development of the following research, network and education groups
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evolution of the sea ice cover. Moreover, it is not yet clear to what extent ROS events can precondition the snow/sea ice physical system and in turn advance, delay, or alter the timing and progression
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CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three‑year PhD position. The recruited candidate will take part in UiO Emerging Technologies Initiative Project FTI-NAM. NAM
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development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is
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democratic development and be an attractive and inclusive place to study and work. Postdoctoral Research Fellow position At the Geophysical Institute there is a vacancy for a postdoctoral research fellow
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omics, bioinformatics, artificial intelligence, synthetic biology, bioprocess development and sustainability assessment to accelerate the discovery and sustainable production of marine and aquatic natural
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written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field