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research by: 🐟 Developing a smad3 knockout zebrafish model, 🔬 Optimizing in vivo visualization of aortic enlargement and molecular dysfunction, 💊 Developing a pathogenic signalling-based drug screening
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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Spectroscopy (XSVS) to data analysis. Simulate GHz speckle experiments to assess and improve developed methods, as well as to optimize experimental parameters. Participate in relevant experimental activities
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the transition away from gas using detailed data on gas consumption Studying tariff design and the allocation of fixed network costs under decreasing gas demand. Evaluating the risks of stranded assets, optimal
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we
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Medicine, Section for Small Ruminant Research and Herd Health in Sandnes, a PhD position is available within the project PIG-ART: Optimization of advanced assisted reproductive technologies in pigs. This is
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 26 days ago
applications, · test and optimize the developed software, · work in the team under national and international projects, · collaborate on publication activities of research outcomes. Full time equivalent: 1,0
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://www.acin.tuwien.ac.at/komplexe-dynamische-systeme-cds/. The Automation and Control Institute (ACIN) at TU Wien is offering the following PhD-Position (m/f/d): Robotic Actuation of a Plug Valve for Optimal Flow Control
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teaching in key and rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is