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Description The Chair of Transport Modelling and Simulation at TUD Dresden University of Technology is investigating models, algorithms and simulations to achieve an enhanced scientific
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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transformation." The project will investigate the relationship between road safety and safety culture. A theory-based model of road safety culture will be developed and validated through surveys in various
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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for the scaffold protein SANS which has been related to the microtubule-based intracellular transport in the cytoplasm of the cell and ciliogenesis in primary ciliary cell models and retinal photoreceptor cells
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation and robotics. Consequently, a MUDS student will learn
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calculation of mixture toxicity Development and application of chemical analytical methods Application of physiology-based kinetic (PBK) modelling for the extrapolation of in vitro to in vivo concentrations
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Scrum) and modeling of system structures and behavior. Experience with common software development tools, for example Git, IDEs, CI/CD and issue tracking. We offer: A family-friendly and collegial working
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translational research with in-depth mechanistic studies in relevant pre-clinical GI cancer models and collaborate across scientific disciplines in two leading centers for medical research in Germany. An
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equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models Opportunity to work remotely The