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Project description This project is part of the MSCA Doctoral Networks program e-ChemIn, connecting 10 research institutes and 3 companies across Europe in a joint effort to identify design
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understanding with applied research and close collaboration with industrial partners, we develop solutions that contribute directly to the optimization of industrial-scale electrolyzers. More information about
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experimental PhDs and Canon Production Printing to enable data-driven ink optimization. Why Join? Work in the multidisciplinary Processing and Performance of Materials group Work at the forefront of sustainable
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. Model transition pathways for the ABEL technologies to integrate into existing or new value chains. Minimize energy and resource use through efficient heat exchange, waste heat recovery, and optimized
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, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second position will focus primarily on the geometric representation of complex data
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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process execution (e.g., identifying concept drift), simulation of highly variable processes, optimization of variable workflows, and many related challenges. Information In the Department of Mathematics
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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, and high-tech companies covering the full energy value chain. Your main focus will be on modeling systems essential for the design and optimization of hydrogen production processes. Accurate
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professional network supporting your future scientific career. Key Responsibilities Design and execute mass spectrometry–based workflows for the identification and quantitation of disease-associated antigens