37 postdoctoral-biomedical-signal-processing Fellowship positions at University of Bergen
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processes and burial history on elastic and seismic properties of shales. Understanding their microscale physical, chemical/compositional and textural properties, and how these are controlled by geological
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. This development will build on a theoretical foundation from numerical and functional analysis, and as a starting point build on the literature related to linear operator preconditioning and nonlinear
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UiS, NTNU, and UiB. The center hosts a vibrant research community of PhD students and postdoctoral researchers. DigiWells promotes a multidisciplinary and innovative environment. Depending on research
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. About the project/work tasks: The position is affiliated with the research group for Energy and Process Safety (EPT) and is funded by the Faculty of Science and Technology as part of the in-kind from
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postdoctoral researchers. DigiWells promotes a multidisciplinary and innovative environment. Depending on research interests, the PhD fellow may collaborate with and visit international partners such as UT
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The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. For the position the following applies About the PhD
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system. The regulation will be applied in the processing of the applications. For the position the following applies About the PhD Research Fellow position: The fellowship will be for a period of 3 years
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these unfolding processes shape the ways stakeholders and users perceive and value mountain landscapes. Climate and land-use changes typically impact livestock grazing, forestry, recreation, energy production, and
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objectives are to (i) improve process understanding of variation and context-dependencies in biodiversity change, (ii) assess and compare the impacts of multiple global change drivers, and (iii) explore
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will investigate the patterns, drivers, and consequences of vegetation change in mountainous regions. The overall objectives are to (i) improve process understanding of variation and context-dependencies