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, chromatin and nuclear dynamics, nuclear architecture, membrane trafficking, and adipocyte, muscle and vascular biology, using human, fly and mouse models. More about the position The overall goal
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integrates Agent-Based Models, hydrological and flood models. GEB can simulate the dynamics between multiple hazard risk, how these risk impact society, vulnerability of different sectors, and how society can
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population prediction models and their impact on the epidemic differ significantly from indicators (R₀ estimation) based on simple ODE models calibrated on general population sampling data (approximately 1,000
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reactive power coordination, and stabilize grid operations by enhancing collaboration between grid controllers at different system layers. Fair price incentives and market participation for reactive power
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the positive ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department
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, enabling new approaches for cancer treatment. A central challenge is to understand and control how different nucleic acids are co-encapsulated within a single nanoparticle and how their organization affects
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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) these effects can contribute significantly to local dynamics and their contributions are often under-estimated using global models. Previous work has shown that ionospheric mesoscale flows vary at different
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
characteristics 2) investigate the functional changes of different dendritic cell subsets in advanced atherosclerosis 3) identify proatherogenic dendritic cell subsets and validate potential therapeutic targets