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experience in scientific writing and publication in peer-reviewed scientific journals Research experience in some of the areas of data science, soil science, digital soil mapping, geostatistics, pedometrics
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Sensing, Geoinformatics, or similar. We are searching for a highly motivated candidate who has: Knowledge of carbon cycling and dynamics in wetlands Knowledge and experience with working with process-based
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fields. Strong experimental skills and solid theoretical understanding of quantum information. Experience in continuous variable quantum information processing and entanglement generation is preferred but
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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills
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has experience with quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work
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degree (or equivalent). More specifically, you are expected to have documented experience in one or more of the following: Wet-lab chemistry methodology. Metal-organic framework synthesis and
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likely be involved. Training will be provided in all methodologies but prior experience with some techniques is an advantage, and experience in human pain research is a prerequisite. An opportunity to
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Lyhne Ibsen (PI) and is funded by the Independent Research Fund Denmark. The research team consists of another postdoctoral researcher who will conduct survey experiments (WP1) and the PI. Job Description
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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experiments measuring the impact of S-R on public support for wage and climate policies. The project is led by Associate Professor Christian Lyhne Ibsen and is funded by the Independent Research Fund Denmark