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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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production. The technological advances within cost-effective drilling have their starting point in the fracking industry, and other oil and gas industries. Mainland Norway consists mostly of igneous and
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regulations that provides both incentives and constraints for the maritime energy transition and emission reduction. The research objective of the PhD is to develop models that capture the interaction between
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of energy geostructures with other underground structures. GENIUS will address all three challenges by developing advanced analysis and design tools for energy geostructures (WP-1) and by advancing practical
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control Advance the knowledge on grid protection, control and automation developments The main supervisor of the PhD candidate will be Professor Irina Oleinikova . Co-supervisors will be Professor Hans
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Advanced English (CAE) or Certificate of Proficiency in English (CPE) from Cambridge University PTE Academic - Pearson Test of English Academic. Minimum result: 62 The following applicants are exempt from
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systems, and society. In this project, we have established comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced
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used as documentation: TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE), or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are: TOEFL: 600 (paper-based test), 92
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at other ENERPOL institutions, one admitted candidate will advance methods to compute and analyse energy-related household inequality (EHI) using granular Norwegian household data, and the second admitted
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments