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% position as PhD Research Fellow in “Pioneering AI and Sustainable Materials for Next-Generation Offshore Wind Turbines” from November 1st 2025, or by agreement. The position is at the Department of Process
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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an interdisciplinary and international team of experts in antibiotic drug discovery, molecular simulations, structure-based drug design, covalent enzyme inhibition, organic synthesis, and medicinal chemistry. We will
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integrated system, CNTs serve as the sensing elements, while necessary signal processing can be performed directly on-chip by the CMOS circuitry. The ultra-sensitive CNT-based sensors can be utilized in
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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out the project. The hiring process will include an interview. Applicants must have prior education that corresponds to 5 years at the university level in Norway, with two years (120 ECTS
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academic and personal prerequisites to carry out the project. The hiring process will include an interview. Applicants must have prior education that corresponds to 5 years at the university level in Norway
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Applicants will be assessed on the quality and relevance of the project proposal, their academic grades and applicants’ academic and personal prerequisites to carry out the project. The hiring process will
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numerical simulations. The PhD candidate will collaborate with industry partners and take active part in a larger professional environment in applied research. Qualifications and personal qualities
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experiments on pore scale and core scale using MRI, but also to provide input for modelling and numerical simulations. The PhD candidate will collaborate with industry partners and take active part in a larger