275 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Postdoctoral positions in Sweden
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outside Europe. Collect and analyze high-quality data. Develop your own research questions within the framework of the project. Participate in regular project meetings and collaborate closely with other
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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. We offer Lund University is a governmental
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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sector is maintained and further developed in Sweden. Research within COMPEL spans the entire battery value chain: materials research, research on new cell concepts and cell manufacturing, battery systems
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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can also vary among healthy individuals. We still have limited insights into the factors that promote and constrain brain plasticity. This project will contribute new insights by developing and using
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works with the rapidly growing area of developing conditions and techniques to protect future AI-based systems. The center is led by Linköping University with Lund University as a partner. Work duties
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, graph theory and more to characterize biomolecular systems. The project is predominantly an applied project focusing on protein characterization; however, there is a possibility for method development
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age