195 web-development-"https:"-"https:"-"https:"-"Linnaeus-University" positions in Sweden
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technological areas. We collaborate with the surrounding society to develop new technologies and disseminate knowledge, thereby strengthening the competitiveness of companies. Working with us, you will be part of
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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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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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different research projects in the lab, and will also have the possibility to develop their own project. Successful candidates will have the opportunity to work in a vibrant and highly collaborative
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and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance. Description of the project The position
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numerical analysis, in order to strengthen and further develop our research and teaching. We are seeking candidates who are both active researchers with solid scientific merits and pedagogically skilled
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep