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are important in our work: geometrical optics, ray tracing, (numerical) PDEs, transport theory, nonlinear optimization, Lie operators and Hamiltonian systems. PhD vacancy As part of the research program Optical
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production of high-value chemicals, such as fuels and organic molecules, from “waste” substrates, for example, carbon dioxide and biomass. The main aim is to understand, develop, and optimize electrochemical
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mathematics. Strong background in mathematical systems and control theory. Experience and/or a keen interest in the field of hybrid dynamical systems, observer design, learning techniques, and optimization
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need to integrate ESG considerations into their decision-making processes, not just in risk selection, but also in pricing, underwriting, and portfolio optimization. Despite the growing relevance of ESG
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. the materials have optimal acoustic impedance and attenuation characteristics; additionally, a desirable characteristic is optical transparency to allow for validation testing by optical imaging. Information
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OCT system must be optimized in terms of noise and detection efficiency. You will do this based on experiments and physical modeling of SC, detector, and system performance. Second, the OCT system must
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map Computational modeling of bone regeneration (partial differential equations) Bringing novel, cutting-edge approaches (e.g. PINNs) to modeling of regenerative processes Parameter optimization and
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, and not afraid to tackle technically challenging problems or optimize new protocols. You are eager to integrate neurobiology, immunology and technology to build and validate innovative pain NAMs based
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Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Strong skills or interest, and proven experience in: quantitative modelling; machine learning; optimization
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established, optimized, and maintained over time. Key tasks Design, construct, and maintain synthetic microbial consortia composed of cyanobacteria and actinomycetes for sustainable bioproduction Investigate