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through understanding their genesis and developing treatments. A core theme of our research is to develop more accurate prediction models for both the risk of developing, and also consequences
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at Lund University . Work duties You will be part of a research group focused on the development of next-generation in vitro and ex vivo culture models. Our overarching goal is to understand how both
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and new business models to ensure a scalable circular economy. The research will cover question such as supply management, governance models and contract management. The main task is to write reports
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behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model species, the PhD student selected for this project will investigate unanswered questions on how complex
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epidemiology to understand RNA metabolism. Perform stochastic simulations to analyze model behaviors. Fit the model parameters to empirical RNA expression and RNA-protein binding data. Predict outcomes
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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developing synthesis and verification techniques based on, e.g., model checking combined with machine learning, to facilitate guaranteeing safety and security of industrial autonomous systems. The employment
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the context of this position, we will focus on understanding the functional basis of interactions between hosts and their co-infecting viruses in multipartite model systems. We also will develop other host
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variants High-resolution cryo-EM and cryo-ET imaging to resolve molecular structure and guide engineering Protein design and molecular modeling, supported by AI tools such as AlphaFold2 Development