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properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st September 2025 Languages English English English Postdoctoral Research Fellow in Molecular Cardiology Apply for this job
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Postdoctoral Research Fellow in computational biology and epigenetics. This position is associated with the recently funded project "Unraveling the molecular mechanisms that imprint epigenetic fate during
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the recently funded project "Unraveling the molecular mechanisms that imprint epigenetic fate during adipogenesis," supported by the Norwegian Research Council. This project is a collaborative effort, and the
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project "Unraveling the molecular mechanisms that imprint epigenetic fate during adipogenesis," supported by the Norwegian Research Council. This project is a collaborative effort, and the position will be
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competent candidate with strong experimental background in molecular biology and/or epigenetics that can work independently. The candidate should be able to collaborate in a research team of national and
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focused on delineating the biogenesis of subsets of NK-EVs using state-of-the art molecular and cell biological tools, and understand how NK cells regulate their release. This work will be tied up with
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome profiling, or CAGE data
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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to complete the final exam. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome