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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
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, systems biology, computational biology, molecular engineering and animal models of disease. In recent work, we discovered a latent regenerative potential in adult spinal cord stem cells using single cell
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experimental development/measurement and theoretical modelling/investigation. Therefore, it requires the candidate to have a solid background in electronics, physics, and mathematics, as well as strong practical
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level. There is close collaboration with epidemiologists, clinicians, and research groups both nationally and internationally. Your mission The aim of this position is to evaluate models for early
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Saccharomyces cerevisiae as our primary research model. In addition to cutting-edge genetic techniques and genome-wide screening approaches, we emply state-of-the-art biochemical and proteomic methods
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from a multi-layer perspective, focusing on SDN-controlled networks and vulnerabilities in virtualized scenarios. The work involves developing multi-layer risk models, creating risk mitigation tools
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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Division of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling
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comprehensive documentation of all research and data Fluency in written and spoken English Merits: Experience in bioinformatics and/or structural biology Experience working with a diverse range of plant model
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Fellows withing several research areas and projects. Immunology Cancer Genomics and Cell Signaling Infectious disease modeling Epidemiology-Multiomics Neurodegeneration Bioinformatic tools Molecular biology