40 postdoc-computational-fluid-dynamics Fellowship positions at University of Bergen in Norway
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society Through
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techniques such as signal processing and dynamic systems modeling, and will contribute to developing knowledge-driven decision-making models. The postdoctoral research fellow will actively participate during
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communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes, and Resilience—CMT investigates long-term environmental changes, seasonal dynamics, extreme events
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communities that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes, and Resilience—CMT investigates long-term environmental changes, seasonal dynamics, extreme events
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Dynamics of the northeastern North Sea region”, financed by Vår Energi and Equinor, and lead by Professor Haakon Fossen with co-investigators Professor Joachim Jacobs and Professor Christian Eide. About the
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year with career-promoting work (e.g. teaching at the Geophysical Institute). About the project/work tasks The PhD project will investigate the moist dynamics of extratropical cyclone families. Focus
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you want to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Research Fellowship in Computational
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Research Fellowship in Computational Narrative Systems at the Center for Digital Narrative
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To study the dynamics of FabF/FabF using MD simulations To design improved inhibitors To determine crystal structures to elucidate the binding modes of new inhibitors To carry out assays to determine the
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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