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research funding. Senior researchers will actively support access to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies The ideal candidate has a background in
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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, in close collaboration with the Berlin-based project team As part of a small international and interdisciplinary project team, the postdoc will be involved in research design, data collection, data
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languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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and 83 PhD students. It also delivers two degree programs: Molecular Biology and Molecular Medicine, with an annual intake of ~120 students. For more information, please visit: http://mbg.au.dk
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and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results in high-quality
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7 Jul 2026 Job Information Organisation/Company Copenhagen Business School Department HR Service Research Field Political sciences » Other Researcher Profile First Stage Researcher (R1) Positions
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/research/positions-of-strength We aim to create societal value through research that addresses concrete healthcare challenges and positioning the Faculty of Medicin as a frontrunner in the use of data
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while