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), a new interdisciplinary research centre based at the University of Bergen, funded by the Trond Mohn Foundation (TMF) and the University of Bergen. About the project/work tasks: CMT is dedicated
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Research , University of Bergen The position is for a fixed-term period of 3 years, with the possibility of a 4th year contingent upon additional work (e.g., teaching duties at the Department). The position
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research will be the integration of remote sensing outputs to assess and classify the activity levels of various catchments. This work will support and refine ongoing palaeoenvironmental reconstructions
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for Mountains in Transition (CMT), a new interdisciplinary research centre based at the University of Bergen, funded by the Trond Mohn Foundation (TMF) and the University of Bergen. About the project/work tasks
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interdisciplinary research centre based at the University of Bergen, funded by the Trond Mohn Foundation (TMF) and the University of Bergen. About the project/work tasks: CMT is dedicated to understanding and
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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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in shaping the future? PhD position There is a vacancy for a PhD Research Fellow in comparative mitochondrial dynamics, combining experimental and computational work, at the Department of Mathematics
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research centre based at the University of Bergen, funded by the Trond Mohn Foundation (TMF) and the University of Bergen. About the project/work tasks CMT is dedicated to understanding and address
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interdisciplinary research centre based at the University of Bergen, funded by the Trond Mohn Foundation (TMF) and the University of Bergen. About the project/work tasks CMT is dedicated to understanding and address
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research, combining laboratory and computational work. Experience with live-cell confocal microscopy is an advantage. Experience with quantitative cell biology and computational modelling, especially using R