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industries. Our research includes developing concepts for renewable-driven technologies and system solutions to decarbonize the chemical and energy industries, including carbon capture, utilization and storage
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative
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flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and
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. The PhD project will therefore study C-UAS concepts and contribute to develop and test solutions that are specially targeting Norwegian needs. The UAV-lab at NTNU has been one of the prime research
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. Our research includes developing concepts for renewable-driven technologies and system solutions to decarbonize the chemical and energy industries, including carbon capture, utilization and storage
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be developed using open-weight models. Access to model weights enables the candidate to inspect and adapt the models, investigate their internal representations, apply interpretability and verification
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contribute to aiD by developing trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets. The rapid integration of wind power, battery storage, and other flexible
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research project Arctic Ocean 2050 together with DNV and Nansen Environmental and Remote Sensing Center. The vision is to develop technology for deeper understanding of the Arctic Ocean as one