167 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:"-"https:"-"https:" positions in Sweden
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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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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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Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies. The main research areas include immuno-oncology
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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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development of a novel potentially quantum-limited microwave amplifier based on hybrid semiconductor-semiconductor structures. Work duties The main duties involved in a post-doctoral position is to conduct
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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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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 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