48 web-developer-"https:"-"https:"-"https:"-"Newcastle-University" Postdoctoral positions in Sweden
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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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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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collaborative activities, such as publications, conferences, and workshops. The position is a career development post, and its purpose is to act as an initial step on a career path by providing the opportunity
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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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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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, b) suggest desirable, viable, and achievable perennial alternatives to annual monocultures, and c) develop a strategy for change. We complement social science expertise with that of plant breeding
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on an undervalued receptor family: plexins. These receptors are involved in neuronal development, but also in shaping the cardiovascular, muskolskeletal systems and kidney. Further, plexins regulate immune responses
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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