47 web-programmer-developer-"https:"-"UCL"-"https:"-"https:"-"https:" positions at Umeå University
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on the banks of the Ume River. Since its founding, the school has developed into an international environment for architectural exploration and critical inquiry, integrating education, research, and artistic
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analysis. You will be encouraged to develop independent research questions within the broader project framework. This project offers an excellent opportunity for a motivated doctoral student to contribute
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline
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knowledge of cell and molecular biology techniques used to study cellular proliferation and invasion, including IHC, RT-qPCR, and Western blot. Experience in developing three-dimensional in vitro models and
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years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning
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investigates the molecular mechanisms that govern plant development, with a particular focus on symmetry breaking processes in tomato flowers. Symmetry breaking is a fundamental biological phenomenon in which
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted