171 web-programmer-developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions in Sweden
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conditions that encourage personal development and inclusion for all co-workers. We care deeply about both physical and safety and the psychosocial work environment. What we offer Lund University is a public
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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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opportunity to delve into advanced mathematical concepts and contribute to groundbreaking research in these areas. Our department offers a stimulating environment that promotes your development as a researcher
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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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of Medicine is currently conducting research on the mechanisms underpinning the epigenetic control of the repetitive genome in stem cell models of early human development. The group was established in 2022 by
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Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate goal of enabling in-cell production of semiconductor
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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