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improvement of simulation models, based on process understanding and existing field data, will be needed to study CO2 injection and long-term effect for maximizing the CO2 injection rate and storage utilization
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to mechanical forces. We work with leading international groups on modeling and also conduct simulations at DTU. Our overarching goal is to understand and predict the mechanical behavior of metals during plastic
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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of the employees under nuclear law. Appropriate checks are carried out for this purpose. Perks: At the FRM II there is a flexible working time model with electronic time recording in which overtime is fully
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prediction models and risk assessment frameworks describing the dynamics and interactions of spoilage microorganisms and pathogens including Listeria monocytogenes and Bacillus cereus in plant-based products
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are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate change. Engineering and applied physics
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domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 8 days ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using
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preclinical in vivo animal models? Then this position might be perfect for you! Join us! We are looking for a highly qualified and motivated PhD candidate to conduct research activities aimed at unravelling