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include an educational component. This is the right position if you are highly motivated about fundamental science and excited about questions related to fluid flows, droplets, wetting phenomena and
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of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency within their fellowship period if the duty component increases to 25
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objectives of the center, the major work assignments being: MRI data analysis In addition, the researcher will be encouraged to present research regularly both in the department and at international scientific
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the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025
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for transformation and harmonisation of various data sources, and integrations with other software solutions in the context of data analysis/AI in life science research. Architecture and development of novel solutions
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the laboratory and iconicity rating experiments through crow-sourcing online. Moreover, the candidate will set up data analysis pipelines for the analysis of the data. The candidate is expected to methodological
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about fundamental science and excited about questions
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mechanics, complex fluids, physics and biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about
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by studying its historical development, current practices, and potential future directions in three key countries: Germany, Norway, and Sweden. The project centers its data collection on the metal and
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25% teaching component. The position is dedicated to a Nepali case study. About the project UNRULY is dedicated to understanding uncertainty related to hydropower projects in the face of climate change