94 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" PhD positions in Norway
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of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
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replicate the sensory and functional qualities of natural seafood. This PhD project is expected to develop technology for cultivated seafood, by selecting the optimal cell source, developing a continuous cell
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, significantly enhancing the visibility of products, resources, materials, and activities. The PhD candidate will develop methods and processes that utilize such technologies to plan and coordinate manufacturing
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with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University
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, University of Oslo. The project that the scientist will be working on in the group of Olweus involves development of new T-cell based immunotherapies, specifically single-cell T-cell receptor sequencing
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development in geothermal energy and deep drilling has made great progress in recent years, especially in the US and Canada where pilot projects produce large amounts of energy, both heating and electricity
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) has a vacancy for a full-time 100% position as a PhD Candidate. Your immediate leader will be the Head of Department. About the project Technology development in geothermal energy and deep drilling has
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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: Characterization of realistic inflow environments and their impact on turbine performance Assessment of clearance effects on loads and efficiency near the sea surface and seabed Development and use of multi-fidelity
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain