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, systems, and constraints explicit and machine‑interpretable, and (3) is suitable for computational reasoning and AI-based methods. In doing so, the project creates the semantic foundation that enables AI
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as PhD candidate in the field of machine learning for materials science. Your immediate leader will be the Head of Department. About the project The PhD candidate will investigate the use of large
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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at the interface of machine learning, deep learning, geospatial AI, causal modelling, and digital health systems. Your Role You will develop the core AI and data-driven models that transform large-scale
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in higher education and research, in and outside academia. The PhD candidate will be supervised by Professor Erlend Alfnes. Your immediate leader will be the Head of Department. About the Norwegian
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will be supervised by Professor Erlend Alfnes. Your immediate leader will be the Head of Department. About the Norwegian Maritime AI Centre The Norwegian Martim AI Center shall position the maritime
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subgroups Support public health policy, prevention and hospital planning Provide meaningful feedback to patients, clinicians and policymakers The PhD will work at the interface of machine learning, deep
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doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. Your immediate leader will be the Head of Department
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doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. Your immediate leader will be the Head of Department
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. Your immediate leader will be the Head of Department. About the Norwegian Maritime AI Centre The center shall position the maritime sector for accelerated and successful use of AI. The demand for safe