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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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. The researcher will focus on efficient functional iterative techniques to solve the nonlinearities in the model equations, on robust space discretization methods and on effective meshing techniques, including
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of Systems and Synthetic Biology, Wageningen University(The Netherlands). Informal enquiries can be made to Pablo Carbonell pablo.carbonell@csic.es . Where to apply Website https://lifehub.csic.es/synbio
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging of thick and strongly scattering
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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nonlinear and coupled equations. Experience with Python or C++ and both Git and UNIX Excellent communication skills, with a demonstrated ability to present complex technical results to diverse technical and
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to break that barrier by developing a groundbreaking MEMS-based neuromorphic platform that physically implements Reservoir Computing (RC), a bio-inspired approach using nonlinear dynamics for fast, efficient