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9th April 2026 Languages English Norsk Bokmål English English Postdoctoral Fellow in Computational Materials Science Apply for this job See advertisement Job description The University of Stavanger
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science and Technology
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candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research
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hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research
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of Electrical Engineering and Computer Science. The position is vacant from september 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD
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engineers in seamlessly combining quantum and classical methods for tackling complex problems? How to verify computing is quantum-safe by simulation of classical computing for data-intensive tasks while
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towards the public healthcare system, and the potential consequences for health inequality and health policy conflicts. Through the project, you will acquire practical skills in survey methods and
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leading to a doctoral degree. The successful candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a dissertation
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position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science