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you often find yourself fascinated by the multiscale complexity of real-world engineering problems? In this project you will develop advanced multiphase transport models for porous systems, bridging
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fracture zones through seismic attribute analyses. The resulting geological models will form the basis for the assessment of the geothermal potential by other partners in this project. The position includes
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, using monitoring data from the EU Water Framework Directive to calibrate and validate advanced sediment routing and modelling approaches. The research will also design a European-scale turbidity and
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? Do you like studying physical systems with wide impact in society? Then, this PhD position is ideal for you! Information This PhD project aims to develop advanced fluid models for low-temperature
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developing indices, summary characteristics, and models for marked point patterns (of trees), as well as (goodness of fit) testing using Monte Carlo and permutation methods. Challenges come, e.g., from
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in molecular and cellular neuroscience. Experience with any of the techniques mentioned is an advantage. Where to apply Website https://www.academictransfer.com/en/jobs/359801/postdoc-project-neuron
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the innate immune system and lead to chronic infections, which are often antibiotic-resistant and prone to relapse. The project is based on the zebrafish model, which allows for the in vivo observation
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candidate must be fluent in English. Basic level in French is a plus LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelBasic Research FieldChemistry » OtherEngineering » Chemical engineeringYears of Research
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of secure control systems. DES provide a natural framework to model the logical and event-driven dynamics of systems such as production systems, supply chains, and transportation networks. The goal
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical