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turn fundamentally alter the functioning of ecosystems. Alpine and arctic ecosystems have remained relatively natural so far, but are especially affected by these changes as they are warming faster than
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and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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the relevant research areas, particularly in high-impact journals Strong potential to develop and lead an externally funded research program Excellent written and oral communication skills Proven ability
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operation under reactive capture conditions. Unravelling reaction mechanisms and catalyst structure-performance relationships using advanced characterisation techniques and computational tools. Collaborating
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an exceptional opportunity to conduct cutting-edge research at the intersection of machine learning, healthcare, and computational modelling, contributing to real-world clinical impact. What is offered
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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-funded doctoral training programme dedicated to academic research in space propulsion. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, GenAI, and IoT/5G on organisations from both the private and public
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you in a vibrant, interdisciplinary environment at one of Europe’s top technical universities – a university that values innovation, societal impact, and diversity. At DTU you will benefit from