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Field
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12 months prior to application Good command of English (German is not required) Willing to relocate to Germany for the duration of the position We offer Working in the socially relevant field
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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and concerns about the dominance of the highly educated. Against that background, this PhD project aims to achieve a better understanding of the particularities of education-based status processes by
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the needs of marginalised populations? If this sounds of interest, then we would welcome your application. In this role, you will work across several projects including- a randomised controlled trial of
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from: Professor Rebecca Jane Cox, phone: +47 45 24 29 74 or e-mail: rebecca.cox@uib.no The University of Bergen must follow Norway’s export control regulations when processing applications
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grades in all components good command of English aptitude for academic work Organizational and communication skills as well as the ability to work in a team, flexibility and initiative Our offer
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Use research management systems (such as RedCap) and other study databases to monitor and manage collected data and perform quality control checks to ensure data quality Assist with study recruitment
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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growth curve models, staggered difference-in-differences) to analyse post-divorce economic trajectories. Synthetic control methods may be employed to establish causal relationships. Application Procedure
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microscopy, optical digital microscopy, temperature-controlled Raman and photoluminescence, film thickness measurement via stylus profilometry and light interferometry, UV-vis-IR spectrophotometer, Hall-effect