15 experiment-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Bergen
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for applications. Documented hands-on experience with isolation, quality assessment and preparation of single-cell and/or nuclei suspensions from complex biological material for downstream single-cell or single
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. Master’s students can apply provided they complete their final master’s exam before 31.12.2026. It is a condition of employment that the master's degree has been awarded. Experience in atmospheric dynamics
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manner, and have the ability to collaborate with others It is an advantage if you have experience setting up empirical studies in higher education and work life have good knowledge of AI tools, including
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perspective, focusing on how players or player communities construct and make sense of games and interactive applications as narrative experiences through playful participation. Relevant approaches may combine
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well as designing and performing targeted climate model experiments. As a PhD candidate at the Geophysical Institute at the University of Bergen, you will be affiliated with the Bjerknes Centre for Climate Research
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publish the result of research at an international level and documented research potential through published research work and a clear research statement is a requirement. Experience with thermo-mechanical
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events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC
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degree has been awarded. A background in algebraic topology and Topological Data Analysis is required. Experience with scientific programming or algorithm development is an advantage. Applicants must be
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to the application deadline. It is a condition of employment that the PhD has been awarded. Documented high-quality journal papers on relevant topics are required. Documented experience with roles-related research
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is a condition of employment that the master's degree has been awarded. Strong mathematical and quantitative skills are required. Experience and/or a strong interest in meteorology is an advantage