43 high-performance-computing-postdoc research jobs at University of Bergen in Norway
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contemporary retreat patterns influenced by anthropogenic climate change. The research will combine advanced remote sensing techniques with ultra-high-resolution analyses of lake sediments to reconstruct glacier
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Norwegian Mapping Authorities and the Norwegian Water Resources and Energy Directorate (NVE), which offers a rich and supportive research environment with access to high-quality data and applied knowledge
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. The project will also collaborate with national agencies such as the Norwegian Water Resources and Energy Directorate (NVE), providing strong applied relevance and access to high-quality glacier and
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measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced
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understanding through an interdisciplinary approach combining micro-fluidics, with genomics, atomic-scale mineral dissolution measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope
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innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560. The LEAD AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of
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tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a
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Conditions and Ageing (CC.AGE). Read more about the project: https://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced
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interactions on decadal timescales and the joint influence on for instance high latitude climate. The candidate will analyze a new and novel coupled millennium reanalysis, which uses modern data assimilation and
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associated with the Norwegian Open Laboratory for High-Throughput Experimentation and Scale-up (NorHTE ) with the function as Head of laboratory for the UiB-node. Expected starting date for the position is the