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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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Analysis of CO₂-to-Food Pathways The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process systems engineering, energy
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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and training master’s/PhD students or visiting fellows in in-vivo imaging techniques and data analysis. Contributing to grant proposals and project planning. You will report to the Eugenio Gutiérrez
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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tasks will consist of: Independent research of high international quality, including publication. Guidance and supervision of Bachelor’s and Master's degree students, as well as supervision of PhD
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web use amongst children between 1995 and 2005. Data analysis, publications and outreach: Analyse and publish results from the data collection (may be individual and/or co-authored with a few or all of
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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Activity Emissions data in Denmark, and the starting SmartField project, and it is envisioned that these activities will be expanded beyond Denmark to Europe or even globally. We expect that you will be