99 assistant-and-professor-and-computer-and-science-and-data Fellowship positions in Norway
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Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department of Informatics. Starting date no later than December 1, 2025. The fellowship period is
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for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is expected to assist
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well data is a requirement, preferably using Petrel. Experience with quantitative earth science and modelling is an advantage. Experience with salt tectonics is an advantage. Experience with the South
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an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start
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is a requirement. Experience in interpreting 3D seismic and well data is a requirement, preferably using Petrel. Experience with quantitative earth science and modelling is an advantage. Experience
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in computer science, statistics, mathematics, data science, or related fields
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of Informatics. Starting date no later than December 1, 2025. The fellowship period is three years. A fourth year maybe considered and it will involve 25 percent of other career-promoting work. Other career
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condition of employment that the master's degree has been awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants