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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
tactical sourcing decisions, and contribute to improved supply chain performance. You will join the Production Management Research Group at NTNU, which focuses on the design and planning of production and
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. For more information on NIH, visit http://www.nih.no About the Department The Department of Physical Performance contributes through education, research, and dissemination, to an understanding of what
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new combined AIRE and IL 12 deficient model to study autoimmunity. You will perform analyses of thymus, T cells and peripheral immune cells using flow cytometry, single cell RNA sequencing and CODEX
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for marine natural products and enzymes. The successful candidate will be admitted to the PhD programme in Biotechnology at NTNU (https://www.ntnu.edu/studies/phbiot ).The place of work is the Department
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environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https://www.nnrc.uio.no/english/index.html The PhD candidate will be part of a dynamic and
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NTNU and the application process here. The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD candidate in AI in Ship Design, Construction and Operation. A PhD Position in Close
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partners. Implementing and testing algorithms in high-performance open-source scientific software. Be prepared for changes to your work duties after employment. Required selection criteria You must have a
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of real-world fault data by combining Simulation-Based Inference (SBI) and Building Performance Simulation (BPS). By integrating historical facility management (FDVU) records with live building sensor data
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https