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practices for the joint-mapping of shallow conditions of relevance to nature-based solutions in drylands conditions. Key questions related to the balance of FEM versus TEM data coverage to optimally balance
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recognized institute. You will join an open, collaborative team that values teamwork, professional diligence, and innovation. The Software Engineering section provides flexible work conditions and strong
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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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fields, preferably with a focus on climatology, climate change and weather history. The PhD must be obtained within the last 8 years Knowledge of Latin is an advantage The successful candidate will work
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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
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to mucosal dysfunction. Mucins remain underexplored despite their significant role in numerous health conditions, making this a high-risk, high-reward research opportunity. You will explore novel therapeutic
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the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental composition
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the nanoparticles will dissolve and release their nutrients. Field tests under controlled conditions will be conducted in collaboration with the other partners involved in the project. At DTU Energy, you will have