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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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Vacancies PhD position in AI-based Grid Capacity Optimization using Battery Energy Storage Systems (BESS) Key takeaways The BATT-AI project aims to develop advanced methodologies based on artificial
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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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renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies
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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
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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that make hospitals more efficient and numerical schemes to study multiscale fluid problems and wave propagation from nano to kilometer scales. We are an equal opportunity employer and value diversity at our