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results from numerical modelling of surface mass balance, firn compaction and ice flow dynamics identifying and quantifying processes of ice sheet change and ice mass balances developing stochastic
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for constraining the spin of the compact object being lensed which will involve both theoretical and computational modelling. If you wish to discuss any details of the project informally, please contact: Prof
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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appendages using the (halo)archaea as a model. Studying the infection mechanisms of archaeal viruses can provide insight into the evolutionary history of viruses and help to understand adaptation to extreme
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validated in half-cells and full working batteries at industrial partners at TRL 6. Our objectives: • Multiscale modelling to better understand RFB behavior and identify optimal hierarchical pore and
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description Specifically, this project combines high-throughput experimentation, synthesis of model catalysts, operando characterization, and molecular modelling to identify novel catalyst families and develop
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model system using mostly biochemical and cell biology assays including sensory studies • Quantification of heavy metals using ICP-MS techniques • Eukaryotic cell culture and transfection of cell lines
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across a broad spectrum of sciences. The Faculty of Medicine, Institute of Pharmacology, research group of Prof. Dr. Thomas Worzfeld, is currently accepting applications for a PhD in Intestinal Stem Cell
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across a broad spectrum of sciences. The Faculty of Medicine, Institute of Pharmacology, research group of Prof. Dr. Thomas Worzfeld, is currently accepting applications for a PhD in Kidney Plasticity
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, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental properties such as forest biomass. However, sampling and measuring at new