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be proficient in both written and oral English. Experience from one or both of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and
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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or Earth System Models is a requirement. Experience in
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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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professionally stimulating working environment including a comprehensive network of international collaborators. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual
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the region. We can offer Exciting development opportunities as part of your role in a strong professional environment Salary NOK 570 000 (code 1017) in the state salary scale. For applicants with at least one
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professionally stimulating working environment Salary as a PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 568 700. Further salary increases are made
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programme at the University of Bergen. We can offer: A good and professionally stimulating working environment Salary as a PhD research fellow (code 1017) in the state salary scale. This constitutes a gross
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programme at the University of Bergen. We can offer: A good and professionally stimulating working environment Salary as a PhD research fellow (code 1017) in the state salary scale. This constitutes a gross