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Field
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-order modelling, surrogate models, and machine-learning methods such as neural networks. Control design for flexible reactor operation. Develop advanced control strategies that enable safe and efficient
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function. Through application of these methods to clinically relevant biological material, we aim to mechanistically dissect the role of DNA damage in aging and disease. Job description A PhD position is
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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criteria It is beneficial if the candidate has a strong background in Numerical methods Elasto-plasticity Wave propagation in solids and porous media Blast, impact or shock loading Programming and scientific
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict
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synthesis have allowed the realization of many novel materials and their alloys, which are gradually finding their ways into numerous applications including energy, sustainability, medicine, novel computation
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CAD tools (e.g., Keysight ADS, NI/Cadence AWR Microwave Office, or equivalent) is valued as its familiarity with programming and numerical analysis tools (e.g., MATLAB) for data processing and