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expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners
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, but also to develop approaches to prevent damage. In the project we aim to develop a numerical model to predict root growth. Your task as a Postdoc researcher is to develop a measurement and monitoring
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, infectious disease modelling, mutational signatures in cancer, -omics data applications, spatial and temporal analyses, pharmacoepidemiology, quasi-experimental methods, implementation science, generative
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. These four areas are designed to work in concert, creating a powerful ecosystem where innovations in one area fuel progress in others. Together, this synergy will enable Vineyard to pioneer new models
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
of (micro)RNA biology, 3D human model systems, nanomedicine, and computational (ML) disease modelling. You will be able to contribute to our vision to translate basic findings into medicinal RNA approaches
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PhD in a relevant field (e.g. political science, statistics, computer science, informatics, economics, or related discipline) with a demonstrated focus on forecasting, statistical modelling, and/or
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-oriented events and contribute to strengthening its visibility and engagement with global research and innovation ecosystems. Qualifications Applicants must hold a PhD degree in electrical/electronics
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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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Sami Spatial Planning through Participatory Design is to explore participatory design models that integrate Sami cultural values and knowledge into spatial planning. The project addresses the rapid