48 parallel-processing-bioinformatics Fellowship research jobs at University of Oslo in Norway
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properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 10th March 2025 Languages English English English PhD Research Fellow in Bioinformatics in Life Science - Microbiome Multi
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properly. Please turn on JavaScript in your browser and try again. 4th April 2025 Languages English English English Postdoctoral Research Fellow in Natural Language Processing Apply for this job See
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Escape Processes Apply for this job See advertisement About the position / About the job Position as Postdoctoral Research Fellow available at the Centre for Planetary Habitability, Department
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their own research di-rection within the broader framework of the project and alongside international collaborators. This project study will integrate a variety of molecular and bioinformatic approaches
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effects between the gut microbiome and drugs, and the impact on drug dosing. Relevant methods include pharmacokinetic investigations in patients, shotgun sequencing, bioinformatics, HPLC-MS analysis of drug
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the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing
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at the University of Oslo (UiO). The position is part of large interdisciplinary project which focuses on the understanding of the biophysical processes as droplets/condensates wet membrane compartments in cells
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computational physicist for a 3-year PD position in the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation