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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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Vacancies PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY Key takeaways Nanometer-thin films are enabling factors in many advanced technology fields such as
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/), multidisciplinary expertise is combined to support decisions on health innovation development, evaluation, optimization, and implementation. Research focuses on quantitative analyses supporting strategies to improve
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friction—to develop novel coupling designs optimized for increased repeatability, thermal stability, and load-bearing capacity. These designs are critical in fields such as: Optical component alignment High
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generative design approach needs to be developed to rapidly design globally optimal (e.g., cost, feasibility, contribution to energy efficiency, resource availability, and potential for mass execution
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subgroups with rapid disease progression or poor treatment response. This will enable more personalized treatment ultimately improving the health of thousands! Job description In addition to optimizing