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improve models and codes for assessment of the liquid source term during severe accident (SA) of LWR systems. In particular, research will include assessment of the characteristics of the containment water
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modelling. It is expected that the degree of involvement in meetings and organisational tasks related to research projects will increase steadily during the employment. The following qualifications are highly
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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engineer and Postdoc P1 to ensure cross-vector coherence in infrastructure models and boundary conditions. Participating in the design and execution of scenario simulations, including policy- and technology
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preferred. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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forest abiotic and biotic disturbances to an unprecedented intensity in Europe in recent years. Windstorms, drought, insect outbreaks, and forest fires are exacerbated by extreme weather, weakening
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uses a range of approaches, including in vivo and ex vivo mouse models, primary human cell culture, and in vitro organoid cultures. Responsibilities Responsibilities include conceptualizing and