22 parallel-programming-"DIFFER" Fellowship positions at University of Bergen in Norway
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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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been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD
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to the research project itself. The remaining six months will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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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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must participate in an approved educational programme for a PhD degree within a period of 4 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is
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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
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01.07.2025. It is a condition of employment that the master has been awarded before employment. Documented knowledge on renewable energy is required. Experience and proven knowledge in scientific programming
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate