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the period 2027-2031, the position is primarily funded by the Norwegian Research Council funded centers “Center for Sustainable Subsurface Resources” (CSSR ), and “gigaCCS ”, in which the University of Bergen
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), Norway. The preferred starting date is as soon as possible and will be agreed upon with the successful candidate. No one can be appointed for more than one PhD Research Fellowship period at the University
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global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging
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engineered and natural environments relevant for nuclear waste management and decommissioning. The project will focus on the processes controlling transport and retention of redox-sensitive, potentially mobile
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on the processes controlling transport and retention of redox-sensitive, potentially mobile radionuclides. The successful candidate will combine laboratory investigations, radioanalytical techniques and numerical
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aiD, one of Norway’s national AI research centers focused on trustworthy, data-driven AI systems for critical industries. The PhD position is for a period of 3 years, with a desired start date of 1st of
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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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pressure on energy supplies, land use, and local authorities who have formal responsibility to handle the development. Data centres have become contested objects, raising questions of collective control
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar