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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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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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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 5 days ago
: Characterizing metal-chemoreceptors-interactions in a cellular model system using mostly biochemical and cell biology assays including sensory studies Quantification of heavy metals using ICP-MS techniques
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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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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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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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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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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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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs